{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from sklearn.preprocessing import StandardScaler"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CRIM</th>\n",
       "      <th>ZN</th>\n",
       "      <th>INDUS</th>\n",
       "      <th>CHAS</th>\n",
       "      <th>NOX</th>\n",
       "      <th>RM</th>\n",
       "      <th>AGE</th>\n",
       "      <th>DIS</th>\n",
       "      <th>RAD</th>\n",
       "      <th>TAX</th>\n",
       "      <th>PTRATIO</th>\n",
       "      <th>B</th>\n",
       "      <th>LSTAT</th>\n",
       "      <th>MEDV</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.00632</td>\n",
       "      <td>18</td>\n",
       "      <td>2.31</td>\n",
       "      <td>0</td>\n",
       "      <td>0.538</td>\n",
       "      <td>6.575</td>\n",
       "      <td>65.2</td>\n",
       "      <td>4.0900</td>\n",
       "      <td>1</td>\n",
       "      <td>296</td>\n",
       "      <td>15</td>\n",
       "      <td>396.90</td>\n",
       "      <td>4.98</td>\n",
       "      <td>24.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.02731</td>\n",
       "      <td>0</td>\n",
       "      <td>7.07</td>\n",
       "      <td>0</td>\n",
       "      <td>0.469</td>\n",
       "      <td>6.421</td>\n",
       "      <td>78.9</td>\n",
       "      <td>4.9671</td>\n",
       "      <td>2</td>\n",
       "      <td>242</td>\n",
       "      <td>17</td>\n",
       "      <td>396.90</td>\n",
       "      <td>9.14</td>\n",
       "      <td>21.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.02729</td>\n",
       "      <td>0</td>\n",
       "      <td>7.07</td>\n",
       "      <td>0</td>\n",
       "      <td>0.469</td>\n",
       "      <td>7.185</td>\n",
       "      <td>61.1</td>\n",
       "      <td>4.9671</td>\n",
       "      <td>2</td>\n",
       "      <td>242</td>\n",
       "      <td>17</td>\n",
       "      <td>392.83</td>\n",
       "      <td>4.03</td>\n",
       "      <td>34.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.03237</td>\n",
       "      <td>0</td>\n",
       "      <td>2.18</td>\n",
       "      <td>0</td>\n",
       "      <td>0.458</td>\n",
       "      <td>6.998</td>\n",
       "      <td>45.8</td>\n",
       "      <td>6.0622</td>\n",
       "      <td>3</td>\n",
       "      <td>222</td>\n",
       "      <td>18</td>\n",
       "      <td>394.63</td>\n",
       "      <td>2.94</td>\n",
       "      <td>33.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.06905</td>\n",
       "      <td>0</td>\n",
       "      <td>2.18</td>\n",
       "      <td>0</td>\n",
       "      <td>0.458</td>\n",
       "      <td>7.147</td>\n",
       "      <td>54.2</td>\n",
       "      <td>6.0622</td>\n",
       "      <td>3</td>\n",
       "      <td>222</td>\n",
       "      <td>18</td>\n",
       "      <td>396.90</td>\n",
       "      <td>5.33</td>\n",
       "      <td>36.2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      CRIM  ZN  INDUS  CHAS    NOX     RM   AGE     DIS  RAD  TAX  PTRATIO  \\\n",
       "0  0.00632  18   2.31     0  0.538  6.575  65.2  4.0900    1  296       15   \n",
       "1  0.02731   0   7.07     0  0.469  6.421  78.9  4.9671    2  242       17   \n",
       "2  0.02729   0   7.07     0  0.469  7.185  61.1  4.9671    2  242       17   \n",
       "3  0.03237   0   2.18     0  0.458  6.998  45.8  6.0622    3  222       18   \n",
       "4  0.06905   0   2.18     0  0.458  7.147  54.2  6.0622    3  222       18   \n",
       "\n",
       "        B  LSTAT  MEDV  \n",
       "0  396.90   4.98  24.0  \n",
       "1  396.90   9.14  21.6  \n",
       "2  392.83   4.03  34.7  \n",
       "3  394.63   2.94  33.4  \n",
       "4  396.90   5.33  36.2  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df=pd.read_csv(r'C:\\Users\\ASUS\\Desktop\\boston_housing.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 506 entries, 0 to 505\n",
      "Data columns (total 14 columns):\n",
      "CRIM       506 non-null float64\n",
      "ZN         506 non-null int64\n",
      "INDUS      506 non-null float64\n",
      "CHAS       506 non-null int64\n",
      "NOX        506 non-null float64\n",
      "RM         506 non-null float64\n",
      "AGE        506 non-null float64\n",
      "DIS        506 non-null float64\n",
      "RAD        506 non-null int64\n",
      "TAX        506 non-null int64\n",
      "PTRATIO    506 non-null int64\n",
      "B          506 non-null float64\n",
      "LSTAT      506 non-null float64\n",
      "MEDV       506 non-null float64\n",
      "dtypes: float64(9), int64(5)\n",
      "memory usage: 55.4 KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(506, 14)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#样本数目及特征\n",
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['CRIM', 'ZN', 'INDUS', 'CHAS', 'NOX', 'RM', 'AGE', 'DIS', 'RAD', 'TAX',\n",
       "       'PTRATIO', 'B', 'LSTAT', 'MEDV'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#输出列名\n",
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CRIM</th>\n",
       "      <th>ZN</th>\n",
       "      <th>INDUS</th>\n",
       "      <th>CHAS</th>\n",
       "      <th>NOX</th>\n",
       "      <th>RM</th>\n",
       "      <th>AGE</th>\n",
       "      <th>DIS</th>\n",
       "      <th>RAD</th>\n",
       "      <th>TAX</th>\n",
       "      <th>PTRATIO</th>\n",
       "      <th>B</th>\n",
       "      <th>LSTAT</th>\n",
       "      <th>MEDV</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>3.613524</td>\n",
       "      <td>11.347826</td>\n",
       "      <td>11.136779</td>\n",
       "      <td>0.069170</td>\n",
       "      <td>0.554695</td>\n",
       "      <td>6.284634</td>\n",
       "      <td>68.574901</td>\n",
       "      <td>3.795043</td>\n",
       "      <td>9.549407</td>\n",
       "      <td>408.237154</td>\n",
       "      <td>18.083004</td>\n",
       "      <td>356.674032</td>\n",
       "      <td>12.653063</td>\n",
       "      <td>22.532806</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>8.601545</td>\n",
       "      <td>23.310593</td>\n",
       "      <td>6.860353</td>\n",
       "      <td>0.253994</td>\n",
       "      <td>0.115878</td>\n",
       "      <td>0.702617</td>\n",
       "      <td>28.148861</td>\n",
       "      <td>2.105710</td>\n",
       "      <td>8.707259</td>\n",
       "      <td>168.537116</td>\n",
       "      <td>2.280574</td>\n",
       "      <td>91.294864</td>\n",
       "      <td>7.141062</td>\n",
       "      <td>9.197104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.006320</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.460000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.385000</td>\n",
       "      <td>3.561000</td>\n",
       "      <td>2.900000</td>\n",
       "      <td>1.129600</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>187.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>0.320000</td>\n",
       "      <td>1.730000</td>\n",
       "      <td>5.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.082045</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.190000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.449000</td>\n",
       "      <td>5.885500</td>\n",
       "      <td>45.025000</td>\n",
       "      <td>2.100175</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>279.000000</td>\n",
       "      <td>17.000000</td>\n",
       "      <td>375.377500</td>\n",
       "      <td>6.950000</td>\n",
       "      <td>17.025000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.256510</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>9.690000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.538000</td>\n",
       "      <td>6.208500</td>\n",
       "      <td>77.500000</td>\n",
       "      <td>3.207450</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>330.000000</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>391.440000</td>\n",
       "      <td>11.360000</td>\n",
       "      <td>21.200000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>3.677082</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>18.100000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.624000</td>\n",
       "      <td>6.623500</td>\n",
       "      <td>94.075000</td>\n",
       "      <td>5.188425</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>666.000000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>396.225000</td>\n",
       "      <td>16.955000</td>\n",
       "      <td>25.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>88.976200</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>27.740000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.871000</td>\n",
       "      <td>8.780000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>12.126500</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>711.000000</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>396.900000</td>\n",
       "      <td>37.970000</td>\n",
       "      <td>50.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             CRIM          ZN       INDUS        CHAS         NOX          RM  \\\n",
       "count  506.000000  506.000000  506.000000  506.000000  506.000000  506.000000   \n",
       "mean     3.613524   11.347826   11.136779    0.069170    0.554695    6.284634   \n",
       "std      8.601545   23.310593    6.860353    0.253994    0.115878    0.702617   \n",
       "min      0.006320    0.000000    0.460000    0.000000    0.385000    3.561000   \n",
       "25%      0.082045    0.000000    5.190000    0.000000    0.449000    5.885500   \n",
       "50%      0.256510    0.000000    9.690000    0.000000    0.538000    6.208500   \n",
       "75%      3.677082   12.000000   18.100000    0.000000    0.624000    6.623500   \n",
       "max     88.976200  100.000000   27.740000    1.000000    0.871000    8.780000   \n",
       "\n",
       "              AGE         DIS         RAD         TAX     PTRATIO           B  \\\n",
       "count  506.000000  506.000000  506.000000  506.000000  506.000000  506.000000   \n",
       "mean    68.574901    3.795043    9.549407  408.237154   18.083004  356.674032   \n",
       "std     28.148861    2.105710    8.707259  168.537116    2.280574   91.294864   \n",
       "min      2.900000    1.129600    1.000000  187.000000   12.000000    0.320000   \n",
       "25%     45.025000    2.100175    4.000000  279.000000   17.000000  375.377500   \n",
       "50%     77.500000    3.207450    5.000000  330.000000   19.000000  391.440000   \n",
       "75%     94.075000    5.188425   24.000000  666.000000   20.000000  396.225000   \n",
       "max    100.000000   12.126500   24.000000  711.000000   22.000000  396.900000   \n",
       "\n",
       "            LSTAT        MEDV  \n",
       "count  506.000000  506.000000  \n",
       "mean    12.653063   22.532806  \n",
       "std      7.141062    9.197104  \n",
       "min      1.730000    5.000000  \n",
       "25%      6.950000   17.025000  \n",
       "50%     11.360000   21.200000  \n",
       "75%     16.955000   25.000000  \n",
       "max     37.970000   50.000000  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#每个数字型特征的描述统计量\n",
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2168152afd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#连续型的变量用distplt画出直方图\n",
    "fig=plt.figure()\n",
    "sns.distplot(df[\"MEDV\"],bins=30,kde=True)\n",
    "plt.xlabel('Median value of homes',fontsize=12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x21681b6cf60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#用hist画直方图\n",
    "feature=[\"MEDV\",'CRIM']\n",
    "df[feature].hist();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x21681cd8668>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#箱型图boxplot，用于离群点的发现，显示分布四分位距，长度有下四分位25%和上四分位75%决定\n",
    "#提琴型图Violinplot，可用于一个或多个变量情况下，连续变量的分布并进行比较。\n",
    "_,axes=plt.subplots(1,2,sharey=True,figsize=(6,4))\n",
    "sns.boxplot(data=df['MEDV'],ax=axes[0]);\n",
    "sns.violinplot(data=df['MEDV'],ax=axes[1]);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x21681d81ba8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#输入属性的直方图\n",
    "fig=plt.figure()\n",
    "sns.distplot(df['CRIM'],bins=30,kde=False)\n",
    "plt.xlabel('crime rate',fontsize=12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    471\n",
       "1     35\n",
       "Name: CHAS, dtype: int64"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#离散或类别型的特征表示\n",
    "df[\"CHAS\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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H+yhc2hsGhDSHGqxo+UHgfd1trncDF/Lq35vx28CNVfX8jL5rgA8Ai4DPJNnWXb/4PPDRPmqX9oaruUqSmpxBSJKaDAhJUpMBIUlqMiAkSU0GhCSpyYCQJDUZEJKkJgNCktT0/5jzT7SuB31eAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x21681f73eb8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#条形图countplot：频率表的图形化表示，离散型特征用此表示\n",
    "sns.countplot(df['CHAS'],order=[0,1]);\n",
    "plt.xlabel('CHAS')\n",
    "plt.ylabel('number');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 两两特征之间的相关性\n",
    "1.数值特征——数值特征：\n",
    "           (1).相关矩阵计算其相关性，若高度相关，考虑PCA降维及增加正则项。\n",
    "           (2).散点图：两个变量在二维空间内显示为笛卡尔坐标。\n",
    "2.数值——类别特征：\n",
    "           画图时通过颜色尺寸等进行划分。violinplot和boxplot可以表示输出\n",
    "3.类别——类别：\n",
    "           可以使用列联表，使用表格形式表示。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x216831b66a0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cols=df.columns\n",
    "#相关系数绝对值大于0.5认为是强相关,使用函数corr计算相关系数。\n",
    "data_corr=df.corr()\n",
    "data_corr=data_corr.abs()\n",
    "plt.subplots(figsize=(13,9))\n",
    "sns.heatmap(data_corr,annot=True)\n",
    "sns.heatmap(data_corr,mask=data_corr<0.5,cbar=False)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# #散点图\n",
    "matplotlib里的scatter（）\n",
    "seaborn里的jointplot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x216821077b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(df['RM'],df['MEDV']);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'plt' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-1-f236d2d26bd8>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0m_\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0maxes\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msubplots\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m2\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0msharey\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mTrue\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mfigsize\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m10\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m4\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      2\u001b[0m \u001b[0msns\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mboxplot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'CHAS'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'MEDV'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mdf\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0max\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0maxes\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      3\u001b[0m \u001b[0msns\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mviolinplot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'CHAS'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'MEDV'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mdf\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0max\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0maxes\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m;\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mNameError\u001b[0m: name 'plt' is not defined"
     ]
    }
   ],
   "source": [
    "_,axes=plt.subplots(1,2,sharey=True,figsize=(10,4))\n",
    "sns.boxplot(x='CHAS',y='MEDV',data=df,ax=axes[0])\n",
    "sns.violinplot(x='CHAS',y='MEDV',data=df,ax=axes[1]);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Lf29fNgvJhtKMO/NdHGYjHbGnRBQTXnskrc1pdL7x3rCiqwCQaBCMGTkCR/uzHGYjbTEoEdWg7ft6SoquZgcVRp8yAru/+/lI2kTkBYMSUYx4LelTzvohlgsiHTAoEcWEn5I+dtl6CsC5t/4Eg0ohXRR4but4kXsskRYYlIg04dZTuf3RvY4lfYqfu2jGeDy8K2OZrWdUeDACj9X8U/FrMyhRNTH7jkgDbltTdHRlbNO8jccWP3fDcwdx/qTTkHZJ+e7PDmLjzjdLApKB5YKo2hiUiDTgVtjUqfJCQqTkuQrAf732nqeUb6vaeAaWC6JqY1Ai0oBbYoJTj8UuqCjkhvzctvhL2FQRF4DrmKjqOKdEFDCvWWzFj2sQsQwuRk/FLnFhbGMSjSNH2JYg8rK535UXpEvmnwTA6gWTOJ9EVceeElGAvGxbbvU4q4BUXHHBrvDpd784C2uWTHftDVkxKkGsbZ1dso36+pVzsbZ1dhmvSlQZ9pSIAuR123KrxwG5obQhpUp6WE6FTzu6MmgcmcCHJ4a/XiqZwKhkg2XV8HRTCjvaFhdus34d6YJBiShAXhet2j1uUCmMbUzicG9/IbmhODCZA4d57ZKhKZXE7ctmAUDJz1nzjnTGoEQUILu5H3MWm9NWFEbPxssCVrse1+hTRpT0zFipgeKAQYkoQFZbTFj1TNy2ojC4LWC163FlevsxpW1rIQgVD9VZYYkh0gWDElHARiUbCsHGGEYzX+CN2zds3u36ek7p4E49ruJEi+L3NBiBKNPbD8k/Hi7PIQobs++IAmLM7xQnFhwfGLJ9fGtz2rXiAuC8gNUqK8/Matvz4uw/ALYlhoiqjUGJKCBuVRmseEk46DsxUJJSbjBv/mfH3Nuym4tyeg5RNTAoEQWknO0iWpvTSCWd/wyP9GUt1zoVv8aOtsU40L7Utudl7m3ZDfk5PYeoGhiUiAJidxFXABa2b7MNKqNcht8A78Npdotsi3tkHV0Z18W2TBunqDAoEQXEaX7HrrIDAPRaLG61YvS4OroyWNi+DVPatpYEO/NwnlG1wZwebl+C1fo5RNXC7DuigBRXXbAaHitO7/ZS987srKaUp43+3KozOA0ndrcvdW0HUZgYlIgCZASEKW1bLXsjh3v7SwKLl4BkDKfZJVPc8dhez+uM7NLIvWQCEoWNw3dEIbCbXzqrKeVY984YcrtmwSTLITi7Xs6RvqxrEViDl3knoqiEFpREZJSI/FJE9ojIXhG5I3//FBHZKSKvishmERkZVhuIomJ14RcAi2aMtw0sQ0ph/cq5AIANzx0EAKxfORc72hYXej1eM+KcEiO8zDsRRUWUh6GDsl5YRACMVkp9ICJJAL8A8G0ANwF4RCm1SUT+CcAepdT/dnqtlpYW1dnZGUo7icJyW8eL2PDcwWHDeLlApdCfLV1Um0sNF8t9jYxtJOwKsFoRAAc4R6QTzzuMTJ15nlp73+O+Xvwr8yf5blCVeTr+0OaUVC7afZC/mcx/KQCLAXwlf//9AG4H4BiUiOKkuHyPWX92EA02f5rHB4YwZPqMqJDrNbWcMw7AyUWviXxyRLophQ+PD1hu5sd1RhRHoSY6iEgCwC4A0wD8AMBrAHqVUgP5hxwCYDlmICLXAbgOACZN0v4TAMVQGEVIvfRkzIHH7X4F4NZHfoVj2aFCr2tQqWHzQNyeIv6Kr3lnfKx+h1JDTXRQSg0qpeYCmAhgHoCZVg+zee69SqkWpVTL+PHjw2wm1SGvO8T6dcdje12H1hJi3VWyux8A+osC0sn7TqaYc44o/oqveac2jYu6OZGpSkq4UqpXRJ4BsABAk4iMyPeWJgI4XI02EBXzukOsHx1dGctdXoulkglceUEaD+/KlPRsrrwgXTIH5cZImuDOsVQrQgtKIjIeQDYfkFIA/gDA3wLYDmAFgE0ArgXw47DaQGSnnDp1dpzmkIqNbUziu1/MbWPRcs4426FDP4GJ80ZUaxyH70SkpYLXngBgu4j8CsDzAJ5SSj0O4BYAN4nIbwCcDuBHFbwHUVmc1hH5Yd4Cwskxi4w7s7Wts7F+5dxhQ3FjG5O2j8/09jvW1SOKG7ee0j+LyEcAbASwSSn1a68vrJT6FYBmi/tfR25+iSgyXneIdeNlCwhD8dohp1JB5qE4t+QJbspHtcSxp6SUagZwBYBBAFtEZLeI3CIi51SldUQhqTQ5wCiK6qWHVCzT248bNu/2te+Sua1WCRH92UHc/OAe9pgo9lznlJRS+wHcAeAOEZkD4GoA20Tkt0qphWE3kCgs5SYH+FnA6kdxFXCr+SajrVPatlo+f1Ap9pgo9jynhItIA4CPAjgTwGgAPWE1ikhnbkN2qWQC1yyYZLtI1k5xFXCnVHWneS9uY05x5xqUROS/icgPkVvouga5ckHTlVKtYTeOSCdehuyMYcC1rbN9pXYb81m3P1q6zskcaJz2bQK4jTnFm+PwnYi8CeAgcunbdyilfleVVhFpxsuQXbophR1tiwu3vZaVTIjgygtyw21W5YKA4YHGGJq7+cE9ltteME28/sSg7p1nbnNKFyml3qhKS6iuhVHyJ0hehuzMmXsJj5v3DSqFh3dlsPVXb9k+xhxojHPD8kJUa9yy794QkWtF5AUR+TD/1Skif1ytBlLtC6vkT5CchsTsMvdWzT/b8+v3Zwcdq0FYBRqWF6Ja5DZ898cAbkBuu4kXkCs9fj6AdSICpdT/C7+J/un+qZuGC6PkT9CcdmstHrIrtrZ1Nh7ZdQh9HhbNOnEoicfyQlRz3BId/ieALymltiuljiqlepVS2wBcmf+ZduLwqZuGC7LkT1jK3a3Vat8kO0mbv0alwP/DVDfcgtIYpVS3+c78fWPCaFClnD51k56CKvkTpnKHyvwcw6DD9BP/D1O9cEt0cPqoqs/H2CJx+NRNwwVV8qcc5qHeRTPGY/u+HsuhXy9DZVavZ64IbsduPyUD/w9TPXALSjPzBVXNBMDUENpTMbuxf50+ddNwxoW+2vOA5jTvTG8//vW5g4Wf+60pZ/V6D+/K4MoL0sMCnd1OsW7Zevw/TPXANShVpRUBivJTN5Uvigl7L8VU/SRc2A0db9/XMywZwmrNk90+S4ZkQvDh8QFMadvK5B2qaW5zSiml1Bv5tUq/Nb7P355Qhfb5xjRZ8srrcFiljzO2l5jSthUL27cBQOH/KJAbdujPDuJfnzsIgSpsVWEUXm1MNiA7qNDbn2XyDtU8t6D0QNH3z5p+9sOA2xKY1uY0drQtxoH2pdjRtpgBKQaMEj7GhbsaF1yvw2FujzPabjfwJkBJNiiQ69UnG2TY8/qyQ/jg+ADuWTkXr931Bdyzcq5lBh8TH6hWuQUlsfne6jZRWaJK43erIQe4D/26bfInQEmwMraZuGHzbmQtshuyg6oQcNY9ud822DHxgWqR25ySsvne6jZRWaJaPGuVYOGUfee17Ya0TdINANfyQ0bAcQo8THwgwwM7Dw67HedaeG5BaaKI/ANyH/iM75G/zTExCkSUafyVJljYtVEA7GhbXNZGgMDJgGOXTSqwLj1EFHduw3drAOwC0Fn0vXH7L8NtGtWLOCyetePWdi9DhGbJhBQCjtXzBcDqBZM4V0o1ybGnpJS6v1oNofoV5zR+t7abhwgbXNYijW1M4rtfnDVswW7x85kOTrXOrSDro04/V0otC7Y5VI/ifOH10vbiIUK7NUpOyxZYdJXqiduc0qcBvAlgI4CdYMYdhSSqC28QFeX9tD3OAZioGtyC0scAXApgFYCvANgKYKNSam/YDSMKm1VZoDUP7cEdj+1Fb182sIBhFfjstrsgqnduc0qDAJ4A8ISInIJccHpGRO5USv1jNRpIFKTiAGE1v5MdUoXN9qxq33V0ZXDHY3sLj2lKJXH7slkArHs/VoGv+DUr7alx7zCqNaJc1kvkg9FS5ALSZACPAvg/Sqmq1ThpaWlRnZ2d1Xo7qlFW8zlepfNrmDY//yayFntMNAAorrtgLJq1K7KazgcQuxp4XtZKlTM/RZHyPP0xdeZ5au19j5f9RpquU/J0/G6JDvcD+BSAfwdwh1LqpQAaRhQqu96DlwKsdswVxM3MhYCMMGSXaXe4t9920fCG5w4Wnu9UqTwOO/YS+eU2p/RHAD4E8AkA18vJfZkFgFJKabnRH9Un89AaMPyirlNZnrOaUrbtsSpLZBVouHcY1SLHxbNKqQal1Kn5rzFFX6cyIJFOjKGs4oBk6M8O4tZHfgXRKHd00YzxvhYHWwWaOC86JrLjVtGBKBbchub6s0OuO7tW0/Z9PbbVGqxYBRqr58dl0TGRHbfhO6JYiNuQ1eHeftuCsOaN/uwCDdc8kR1zgdawhJFQwaBEsdfRlXEt36MbBWBh+zbLNUst54yzTS+3up9BiGoJgxKFKux1NMZcUpwCkiHT248bN+/GDZt3F1LEjSBjPkdu652IagWDEoWmGhfSStK87ditLQqDl9RvwD79++YH99g+hyiOmOhAoXFaRxMUp7mksY3JwvepZIOnlXvJhKBBoul1OZ0bu+McVKoqu/QSVQuDEoWmGutoTkslLe9vTDbgWPbkktb+7JCnrZKzgwpZ80rYKrI7N05p3kEHeqIocfjOAuuJBcNu19TiC6zVuQa8Z5TZrT3qizKyVMAu+FiVJCoWt+xDIjsMSiacUA6O2wZ4dlW6ISjUl3M7/70Wi2V1l84Ha6M+nsFpjZFx7Dc/uMdyvosLZqlWcPjOpBrzIPWitTmNu5bPRropBUHuYlxcLNTqXGeHVEnBU7vzb6SCx0lCBItmjEe6KVUo2AqUnhsrrc1p3P3lOVwwSzWNPSUT1hMLltM6GquhPTvm8x/XVPBBpYYVdh1UqhBUvPTEuWCWah2DkomXeRAKhp/Ua+P8d3RlcPuje9HbH79hOzt+K3tzwSzVMg7fmbCeWPV4DUjG+e/oymDNQ3tqKiAZ2BMnymFQMnGbB6HgpG16n02ppOX5X/fkfmR9VFVtKGO6KdkgGNuYhAAYPTLh+ng7fqe62BMnyuHwnYV6Gh6JMv3dLjvv9mWzLNvgpzeRdtivyE4q2YC7lp9XeO9zb/2Jr+cDuSHJu788Bzds3u35OckGQd+JAUxp2+qp1h1Fg7+P6mBQqmNRp7+7TdoXXwSaGq0XydpZNGM8tu/r8ZVMMW70KcOOu5wkCuM55nRvQ0IEq+afXdju/LRUEh+eGCjsA2X8DjrfeG9YtXAuTYhW1H8r9URUDLKXWlpaVGdnZ9TNqDkL27dZXrTTTamSytXVZr4IVEtTKokr5kzwHdAMCRF87LRRls8VAOtXzh12EbP7Hdglgejwu6lHAf2teB7UnTrzPLX2vse9PjwyPreu8HT87CnVMZ3T38MotOpFb392WMq2X4NKOW5z7nVLc7temg6/m3qk899KrWGiQx3TeTvtuP6xp5tStufPKrHD7rEJm0wJHX439Ujnv5Vaw6BUx3ROf/fyx15JdlwYjHPn57zaPXbV/LO1/d3UI53/VmoNh+/qmM7VAdwKkCYTEsnwnp2ESMnSAatCswvbt1mea6vfgd0OtFR9Ov+t1BomOlDgKkmdLX7uaakkRHJFV5sak1AKONqfxVlNKRz58Lg2lcCTDYJ1V81xPEarxI1UMsE1cPWFiQ4esKdEgaokddb83N7+LFLJREnGGgBMbtsaQuv9a0olbddVFXMq9MugRHQSgxIFqpKLb1wu3GMbk+j6zud9PYfZW0TeMNGBAlXJxdfLczu6MljYvq28xgWknBFvZm8RecOeEgXKrsp6U2PSdpLf7bnFFcKjWFBrdtSiIKzbPJrbhodEcfTATuc1fT7nnACE2FMSkbNFZLuIvCwie0Xk2/n7x4nIUyLyav7fsWG1gapv0YzxJbOZyYTgg2MDyPT2Q+HkPFNHV2bY46zSbovrwt384J7IAxJQ2rsxgqXT8bHQL5E3YfaUBgDcrJR6QUROBbBLRJ4C8FUA/6GUaheRNgBtAG4JsR1UJR1dGTy8KzOs5psAGNEg6DdlylnNFZnTbs114XTY0M/cu+noylhuUW53fAxCRM5CC0pKqbcAvJX//n0ReRlAGsAfAvhc/mH3A3gGDEo1wSpRQQElAclgNYdUfOFsRrKNAAAgAElEQVRe2L5Nq72TzGuR3Ha/ZRIDkX9VSXQQkckAmgHsBHBmPmAZgeujNs+5TkQ6RaSzp6enGs2kCvm9CLtN8ut2UR9UCp1vvFe47Vafj0kM5EfxNe/93vfcn1CjQk90EJGPAHgYwA1Kqd+Lx93PlFL3ArgXyC2eDa+FFBS7RAUrVsNg5kQBP69XLUax1rWtsx2DJpMYyK/ia97UmefV7TUv1J6SiCSRC0gblFKP5O/+nYhMyP98AoC3w2wDVY9VooIV8yS/VaLAmi178Pbv9QpIho073wQAnJay3uPJquQQEXkTWk9Jcl2iHwF4WSn190U/ehTAtQDa8//+OKw2UHUVJyo49XDM+89YDYNlB/X9oDioFDq6MvjwxEDJz7yUHCIie2H2lBYC+CMAi0Vkd/7rC8gFo0tF5FUAl+ZvU41obU5jR9ti2yJXVvfrNnfkJiGCdU/utwycHxk1ggGJqAJhZt/9AvYF+C4J631JD3b9HKv7dZw7crJq/tnYYLMRYG+fPtmCRHHEMkMUCqsN7ezu9zoXVW3JBsHCc8cVNtxLiOCaBZPQcs44NHATPqJQMChRKPxsitbanMaVF6QLF/8G8fYf0/M+AB5fqzgAAUB2SKH73X7c/eU56G5fitfu+gJazhnnuDbpw+MDJZUqiMg71r6jUPjZFM2oBGFc6IdUrjTRKRaVIIoFmQrxmXPH4YWDR0uCjXnrDbe1Sb39Wc9bdRDpoJz6dGFiUKLQeC2rY5d9V60MvKZUEt3v9tsGm/7sIG5+cA9u3LzbUyDUcbsNorhgUIqpSnZ31U21su+SDYBVx+uKORNsExcMfuvuxS2jkEgXDEoxVMnurkG8d9DBMOzsu3vyO9cubN9m+T7/+txBiCDQ8cA4JTzU0gccij8mOsSQ0w6tYfKyRUM5rLa7CEq6KVW4wDr1XoIsQB6nEkNh/U6JysWgFENRba0dRjC8reNFbHjuYKBJC8Xe+/A4JrdtxeS2rWWl6yU81mo0xG2fpKg+4BDZYVCKoai21g46GHZ0ZcoKSEaYGNuYRCrp/F+4OHvPb29IANz95Tme11Clm1LY0bY4NgEJiO4DDpEdBqUY8rMGKEhBB8N1T+53DUjFC1eB3IV//cq5uGflXHxwbMAxZdztNd2clR/6u2v5bNfHCnLDkHY6ujJY2L4NU9q2YmH7Nm2Gx6L6gENkh0EphqLaWjvoYOjl07iR9TaoVOG9jPVC2aHyBv2GlMI1CyY5juYVH1drc9q2QoVBAXh4V8Yy2Og8bxPVBxwiO8y+i6kottb2syDWC79Zd8VzHZVk6zU1Jku2bQeA0SMT6DsxaHlca5ZMH5bx6NQ+8/lwmreJeqgv6N8pUaUYlMiXIIPhmiXTPS9INRSnv5frWHbQctivqXEk9t652OIZJy/eN2ze7dq+jq7MsHOk+7xNFB9wiOxw+I4i09qcxmqXYTSzhIhjb8ULu3kotyDR2pzG2Ebrjf2K3bh5NyYXzR1x3obIOwYlitTa1tlYv3IuGl2y6IDcXIffygp+eAkSXt7eeIjRq1s0Y7xlBl/fCRZvJTJjUCJPwswea21OY+zoU1wfd/6k02wz50QwLPHjnpVzHZMTzK/idXL/aL+//ZL6s4PYvq8Hdy2fjSbT9ulH+rLaJDxQ/fjK/EnDvnTDOaU656XETDXKGnmZX9nx2nu2P1Pq5DbrxjE5JUMo5IKX23Gbz005JZEO9/YXMgZ7TUFNl4QHIl0wKNUxr8GmGtljlda/M3pF5mNyerwRxKzYnZsrL0hj8y/f9JWObgwL6p7wQKQDDt/VMa8lZqpxMfVT/85pXY3bfkfmx9uxOzfb9/XgI6PsP8s5DQsy4YHIHYNSHfMabIK6mNrNSxmb/Hnte4xKNqAplSxZONzRlXHsbVk93m6ezOnc9PZZzysJgPX5uSyrRc1cqErkjsN3dcxuyMwcbKwWjvq9mDoNFXrp3RQ70pdFKpnA+vyWFMWvb8c8XOc2dOl2bqx+pvLHYrf4lAtVidyxp1THrD65A8CHx4enKgdR1uj2R/faDhWWM5dkHmZ0CmxWAdRt6NKpV2N33gD7EkJGr+zG/OLb9Svnxq54K1E1sKdUx4wL4h2P7cWRoiGp3v5sScJDJav+O7oyJVlnhsO9/UiIlLX+qHiIzWl+yyqA2gVC434vvRq7gGpOAolyU0aiuGFPqc61NqfROLL0s0mQe+o4vc5ZTSnHgOSU/FA8zGg3v1W8yV8xu/VOVvcrAL89egw3bN6Nc2/9CSa3bS0M09m1rzhI2vXKbn5wTyRVw3WtWE4EMCgRws+uc3qdNUumOy5ydeo/FW8V4ZZEYL4Q2wVC4/7iyt7F9xv/Gr2dJpuyQ8VB0u74B5WqetVwnSuWEwEMSnWr+CLdYNNrCCpV2e51xjYm0dqctgwoXtLDt+/rKXzvNO9ldSG2e/2ESGHRrFvyRX92EEo5p6gD3s5jtXZ75U6zpDsGpTpkvkhb9RrcNq3z+j4L27dZBoFUMoHvfnEWAOuAst6lTBCQCy7Fw0+tzWnsaFuMA+1LhyURWF2I7Xpgg0oN6yG5OdqfdU0CcUqMKFaNRbRcwEu6Y6JDHfLSCzA2rWs5Z1xZk/HmyX2FXKAzyvuYkwaMRAqjl3Lj5t04LZVEMiHIDtoP4nlJGnC64IqUFlntzw56Tr5wSwMvbpeRNNFg89rVWETrdRkA1a4Hdh4EAC3r3gEMSnXJ66fiSkoJ2fVOnMr7mANZb38WyQZBY7IBfQ7bntu10whwTqHFLu4YO916WT9lBMbON97D9n09ltl6xdmLVqWQUskEFs0Yj4Xt20JdwxTEmjOiMHH4rg75+VRc7rBOOcNEVoEsO6QwdvQprlW/za9rTlTwa2xjsjAs50V/dhAbnjvoKYHAarjyygvSeHhXJvQEhCDWnBGFiT2lgHmpuh21RTPGY8NzB4f1IIyhNbNyh3Xshoka8okEVr0auwBiVNlubU4X5qjc2um3SoSZUnB9z5LnmG4X9+Cs/l8U9xgXtm+r2pbp3GmWdMaeUoDikG5rVWdOAHzm3HGB1mWzm9w3EgmK697NveOnjtuMFwccr/XjKqk4DmDYYl+viQpWDue3R3f7f8EEBKIcBqUAxSHd1m6up/vd/kCHdYxhIqvFqMY5MS7WdtUegNKA4zb8ZAQ5OzbZ7yWK221+z6Z8Asaw17V5nbOaUp7+X7CCOFEOh+8CFIdPu05tDGNYxy6D7XBvv6chNqvAaJWpt+7J/Vg0Yzwe3pVxfM0RIsh6yKozt9t8bszDcVbvbQRUu16gkdKe6e23DJZMQKB6xKAUoDik21arjW5Vu8/K7/rqxK5EUPHrF9eTM8+TWfG6OZ9bgoNVAG85Z1zJvBFgP18nODnMaI6TYxuT+O4XZ3Huh+oOg1KA4pBuG3Qb7RI7vFTtdqoQ7pYi7WdBrF8CWJ6P4m3WjXVMYxuTUCq3iNYqsWVh+zbbdjm1t3HkCAYkqksMSgGKw345QbbRqfq116rdVluXj21MYul5E4YNh5kXyfodEk0lEzhlRIPj/JVBoXQhrvlYjeG94urqVgt5g06pJ6p1DEoBi0O6bVBtdJrAtxsmLB6SMwfI01JJiAC9fVls3PlmybxOf3YQdzy213ETPjtXXpBGyznjcOPm3a49KquhO68p5uY0brt2ulWM0GnIl6iamH1HZXNKmvCaum3Uq1u/ci6ODwzhSF/Wth4fkOuZdHRlfKdpP7wrl369esEkx2KvyYTgw+MDJds6+Om5FD/W7jysmn+2bft1G/Ilqib2lKhsTkkTfocJ/Sx2Xffk/sLC05sf3OOpRp3Rg9nRtnhYQkJx76ypMYkPjg0UhviKh+P89MyKezlO58FoR/EclVVdQCIvdK1l55eoMnb8rLaWlhbV2dkZdTPIxK6Gm5f1TeYECT9DcQLgQPtSAMCUtq2eExyKn2fFrnKDESis5r/MvB4/1SWPq+SAqTPPU2vve9zXi8cgKHk6fvaUqGzlJk1YJUjYpU1bMe84W04PxorbGi4AjpUn2MshqhznlAJWb1tNF88JAcCNm3e7HrddOrf5Y1QyIUg2DL/XPN9iNWeTbBDLigvm/ZfM3KoqtDan0ZSy3mm2KZUctocTEZWHPaUAOaVI63SxCrporN/jtuuRKOTSwXv7ssMWnzq11a63Ztxn7oXZta2jK4MPjw+UtMkcBO3KFP3+WNay0CwR+cOgFCCnFGldLlZhBE6/x+005HYsO4T1K+daBh47dinudhW+zW2zmhsDrKsq9BatSyo2pKDlBxCiuOHwXYDiUPsujKKxdsdnDJeZhzKd0rmDLmDr5Xdil/lnVVXBaV5Kt+K7RHHEoBSgOFR6DiNw2h2fMY9j3q6htTmNKy+w700EGcS9/E78nBO39VE6fQAhiiMGpQB5XTAapTACp9VxW2XTFW9ZYSxmDbotXtpm/p34OSdOW3I4vRYRecOgFKA4bDUdRuC0Om679G63LSuCDuJefieLZowveV4yIbbtaG1O4+4vz7E8j0YR2XrJviQKGhMdAqZ77buwisaaj9tp23KvxVrdeM0idPqddHRlsPn5N0vuHxx0XjVldR7Neyrpmn1JpDMGpTpUjcDptEWG3ZYVTvsnmQWVRbjuyf3IWgSgofzPnF7LKhDrnn1JpDsGpRgLer1RkNx6ZJXs6dTRlbGseVdOAHDqtflNWohD9iWR7hiUYkq3hbp2AdJuOA0obwjROG6nbdb9cFoz5TdpIexdfXX+EELVE4MadxVhUIqpchbqhnVRKydAljuE6FZN3G8AWLNkOtZs2WM5hGeVAOH2WmHtPKzbhxCisISWfSci/0dE3haRl4ruGyciT4nIq/l/x4b1/rXO71CRcVGzWjdUqTAW5Npx6gk5ZczZaW1OY92KORg9snTt0cO7Mr7OT5jZl9U8x0RRCjMl/D4Al5nuawPwH0qpjwP4j/xtKoPf9UZhXtSqOZfi1BMabVGBwYvW5jSaGkeW3F/O+TEK1B5oXxpogVbOV1G9CC0oKaV+BuA9091/COD+/Pf3A2gN6/1rnd/1Rl4vauVUOa9mJQunntDRfuu6dF7oftGPQ7UQoiBUe/HsmUqptwAg/+9H7R4oIteJSKeIdPb09FStgXHhd6jIy0Wt3CG+alaycNo+opILtNfzYw7Y1dqqJA7VQqgyxde893vNn+frh7aJDkqpewHcC+R2no24OVrykyzgZRK+3CrnYS3ItXP7slmBJxS4nR+rRIM1D+0BBIUkiTCTD6p9jqn6iq95U2eeV7fXvGoHpd+JyASl1FsiMgHA21V+/7rl5aJWyRBWNStZhHGBdntNq4CdHSq9boS5WFb3aiFEQah2UHoUwLUA2vP//rjK71/X3C5qYa+zCVIYF2in1/Qzt6TLPBRRHIWZEr4RwLMApovIIRH5E+SC0aUi8iqAS/O3SROct7DnJzDrGMSJ4iK0npJSapXNjy4J6z3jSKdV+rUyb+H1nPo591ZzTskGGTanBDCIE1VK20SHeqDjKv24z1t4Pad+z71dwLa6L87njyhqomxqiOmkpaVFdXZ2Rt2MwNlt75BuSmFH2+IIWlQ9fnuIXh8/946fotdivZL5nOp47nXqNVMorHeGtDB15nlq7X2Pe3psjGrheTp+9pQipPuCzXJ4ubD67aV4eXxHVwa3P7rXMiABpedUt3OvY6+ZKArceTZCuq/S97sw1OviW78lj9web7yvXUACSs+pbueete2IchiUIqRztls51R28Xlj99lLc7nerHA6UlifS7dzr1nMjigqDUoTCrCpdqXI+uXu9sPrtpbjd73bhHtuYLDmnup173XpuRFHhnFLEdM12K+eTu9fFt373HXJ7vNNGfalkAt/94izLn+l07sPci4koTthTIgCl80dNjf6LnnodEvPbS3F7vNX7Arkeki49TydGckh/dhAJySUoRd1zI4oKe0pkmfmVbBAkE+JrYaifxbd+eylOj4/zol/zuR9UqnCe49B+oqAxKJFtsdGmVBKjTxkRaGWEsIQ5FGd1fEAwQbDcyuxEtYpBSXPVuODbzRMd7c9i93c/79o+p/U1OgSsSoS9ZQWz7oiG45ySxsrddM+vSjK/nD7pV6v9YbLrRRYPawLlryli1h3RcAxKGqvWgspK1uw4fdKvhQWhYW9Zodt6KaKocfhOY9Ua2qkkUcApDbwWhqac0s2tHutXnJM0qDpiVNsuEAxKGqvmpnvlJgo4ra9Z9+T+UNtfjfmqamxZodN6KaKocfhOY3EY2nFaQxRm+6s1X2V1fOuumoN1K+ZoUw2CqJawp6SxuAzt2H3SD7P91Uyldjs+IgoOg5Lm4j60U277s9ksDh06hGPHjln+/I7PNkGhqeR+AfDyyy/7fj+ioIwaNQoTJ05EMmldFYWcMSiRlg4dOoRTTz0VkydPhkjp3mDy1u9xYnCo5P6RiQbMmDCmGk0kKqGUwrvvvotDhw5hypQpUTcnlhiUSEvHjh2zDUgAcOZpo5A50o+hop2TG0Rw5mmjAABH+k7gd0eP4cTgEEYmGnDmaaMwtnFkVdpO9UtEcPrpp6OnpyfqpsQWgxJpyy4gASgEGKvAc6TvxLCAdWJwCJkj/cOeRxQWp/+35I5BiWJrbONIyyDzu6PHhvWgAGBIKfzu6DEGJSLNMSWcao7VXJPT/QQ88cQTmD59OqZNm4b29nbLx9x4442YO3cu5s6di0984hNoaipNNAlbX18fli5dihkzZmDWrFloa2uzfFx3dzdSqVShvX/2Z3/m6322b99eeO7cuXMxatQodHR0DHvMt771LXzkIx8p+1jIGntKVBV+F7r2nRjAvnwyg985oZGJBtskiKgNDAxgxIjg/+wGBweRSJTuKeX1ud/4xjfw1FNPYeLEibjwwguxbNkyfPKTnxz2uPXr1xe+/8d//Ed0dXVV1OZy/cVf/AUWLVqEEydO4JJLLsG///u/4/LLLy953Lnnnovdu3eX9R6LFi0qPPe9997DtGnT8PnPnyxO3NnZid7e3vIOgBxF/1dKNc/vQteOrgx6+7KFwGLMCR3pO+Hp/c48bRQaTOP6xUkQXnR3d2PGjBm49tprcd5552HFihXo6+sDAOzatQsXX3wxLrjgAixZsgRvvfUWAOCf//mfceGFF2LOnDm48sorC4//6le/iptuugmLFi3CLbfcgv/8z/8sfAJvbm7G+++/D6UU1qxZg0996lOYPXs2Nm/eDAB45pln8LnPfQ4rVqzAjBkzsHr1aqj80OTkyZNx55134qKLLsJDDz3k+djMfvnLX2LatGmYOnUqRo4ciauvvho//vGPHZ+zceNGrFq1qnB77ty5lo+bPHkybrnlFsybNw/z5s3Db37zm7LbCQCNjY1YtGgRAGDkyJE4//zzcejQIV+v8dOf/hSf/vSncf755+Oqq67CBx984Pj4LVu24PLLL0djYyOAXBBfs2YNvve975V3EOSIQYlC57cw67on92No+JRQYU7Ii7GNI5Eemyr0jEYmGpAem/I9n7R//35cd911+NWvfoUxY8bghz/8IbLZLL71rW9hy5Yt2LVrF772ta/hr/7qrwAAy5cvx/PPP489e/Zg5syZ+NGPflR4rVdeeQVPP/007r77bvzd3/0dfvCDH2D37t34+c9/jlQqhUceeQS7d+/Gnj178PTTT2PNmjWFYNfV1YV77rkHv/71r/H6669jx44dhdcdNWoUfvGLX+Dqq68e1vYNGzYMG34yvlasWFFynJlMBmeffXbh9sSJE5HJ2FfGeOONN3DgwAEsXry4cJ9Tj2TMmDH45S9/iW9+85u44YYbSn5uHiozvj7zmc/YviYA9Pb24rHHHsMll1xi+fMDBw6gubkZF198MX7+858DAN555x2sXbsWTz/9NF544QW0tLTg7//+7x3fZ9OmTcMC8Pe//30sW7YMEyZMcHwelYfDdxQ6v4VZc/eXzlf4mROyS4Lw4+yzz8bChQsBANdccw3+4R/+AZdddhleeuklXHrppQByn5qNi9NLL72E2267Db29vfjggw+wZMmSwmtdddVVheG1hQsX4qabbsLq1auxfPlyTJw4Eb/4xS+watUqJBIJnHnmmbj44ovx/PPPY8yYMZg3bx4mTpwIINcj6e7uxkUXXQQAWLlypWXbV69ejdWrV3s6TmVKCgGcM8g2bdqEFStWeB4uNC7oq1atwo033ljy8+KhMq8GBgawatUqXH/99Zg6dWrJzydMmICDBw/i9NNPx65du9Da2oq9e/fiueeew69//evC7/XEiRP49Kc/bfs+b731Fl588cXC7/Lw4cN46KGH8Mwzz/hqr1/jRo+su0KsBgYlCp3fwrJ291d7Tsh8YRYRKKUwa9YsPPvssyWP/+pXv4qOjg7MmTMH991337AL1+jRowvft7W1YenSpfjJT36CBQsW4Omnn7YMDIZTTjml8H0ikcDAwIDl6xbbsGED1q1bV3L/tGnTsGXLlmH3TZw4EW+++Wbh9qFDh3DWWWfZtmfTpk34wQ9+YPtzs+LzaBXstm/fbhmsGhsb8V//9V+Wr3ndddfh4x//uGXPC8idM+O8XXDBBTj33HPxyiuvQCmFSy+9FBs3bhz2+J07d+LrX/86AODOO+/EsmXLAAAPPvggvvSlLxWqM3R1deE3v/kNpk2bBiCXeDFt2rSKhyXpJA7fUej8FmZds2Q6GkzXLr9zQkE4ePBgIfhs3LgRF110EaZPn46enp7C/dlsFnv37gUAvP/++5gwYQKy2Sw2bNhg+7qvvfYaZs+ejVtuuQUtLS3Yt28fPvvZz2Lz5s0YHBxET08Pfvazn2HevHllt3316tXYvXt3yZc5IAHAhRdeiFdffRUHDhzAiRMnsGnTpsJF2Wz//v04cuRISe9ixowZtm0x5sc2b95s2SsxekrmL7uAdNttt+Ho0aO45557bN+zp6cHg4O5IePXX38dr776KqZOnYoFCxZgx44dhSDS19eHV155BfPnzy+8b/Gxm+fOli5dit/+9rfo7u5Gd3c3GhsbGZACxp4Shc5vYdbW5jR27XmvkEUXVUWGmTNn4v7778fXv/51fPzjH8ef//mfY+TIkdiyZQuuv/56HD16FAMDA7jhhhswa9Ys/PVf/zXmz5+Pc845B7Nnz8b7779v+br33HMPtm/fjkQigU9+8pO4/PLLMXLkSDz77LOYM2cORATf+9738LGPfQz79u0L/ThHjBiB73//+1iyZAkGBwfxta99DbNmzQIAfOc730FLS0vhQr1x40ZcffXVw3o877zzjmNP7/jx45g/fz6GhoZKeih+HTp0CH/zN3+DGTNm4PzzzwcAfPOb38Sf/umf4tFHH0VnZyfuvPNO/OxnP8N3vvMdjBgxAolEAv/0T/+EcePGAQDuu+8+rFq1CsePHwcArF27Fp/4xCdK3qu7uxtvvvkmLr744oraTP6I038mXbS0tKjOzs6om0FV9PLLL2PmzJmRvX93dzeuuOIKvPTSS5G1IS4ef/xxvP7667j++utLfjZ58mR0dnbijDPOiKBl0bH5/+u51EONXvM8HT97SkRUkSuuuCLqJlANYVAisjB58mT2kgLQ3d0ddRMoZpjoQNqKw9AykRn/31aGQYm0NGrUKLz77rv8A6dYMfZTGjWqupmitYTDd6SliRMn4tChQ9yXhmLH2HmWysOgRFpKJpPcuZOoDnH4joiItMGgRERE2mBQIiIibcSiooOI9AB4I+p2WDgDwDtRNyJgPKZ44DHFh3Fc7yilLvPyBBF5wutja00sgpKuRKRTKdUSdTuCxGOKBx5TfNTqcYWFw3dERKQNBiUiItIGg1Jl7o26ASHgMcUDjyk+avW4QsE5JSIi0gZ7SkREpA0GJSIi0gaDUplEJCEiXSLyeNRtCYKIdIvIiyKyW0RqZstLEWkSkS0isk9EXhaRT0fdpkqIyPT878j4+r2I3BB1uyolIjeKyF4ReUlENopI7Mtsi8i388eztxZ+R9XCgqzl+zaAlwGMibohAVqklKq1xYv/C8ATSqkVIjISQGPUDaqEUmo/gLlA7oMRgAyAf4u0URUSkTSA6wF8UinVLyIPArgawH2RNqwCIvIpAP8DwDwAJwA8ISJblVKvRtsy/bGnVAYRmQhgKYB/ibotZE9ExgD4LIAfAYBS6oRSqjfaVgXqEgCvKaV0rHbi1wgAKREZgdwHh8MRt6dSMwE8p5TqU0oNAPhPAF+KuE2xwKBUnnsA/CWAoagbEiAF4KcisktErou6MQGZCqAHwP/ND7X+i4iMjrpRAboawMaoG1EppVQGwN8BOAjgLQBHlVI/jbZVFXsJwGdF5HQRaQTwBQBnR9ymWGBQ8klErgDwtlJqV9RtCdhCpdT5AC4H8A0R+WzUDQrACADnA/jfSqlmAB8CaIu2ScHID0UuA/BQ1G2plIiMBfCHAKYAOAvAaBG5JtpWVUYp9TKAvwXwFIAnAOwBMBBpo2KCQcm/hQCWiUg3gE0AFovIv0bbpMoppQ7n/30buTmKedG2KBCHABxSSu3M396CXJCqBZcDeEEp9buoGxKAPwBwQCnVo5TKAngEwGciblPFlFI/Ukqdr5T6LID3AHA+yQMGJZ+UUrcqpSYqpSYjN3yyTSkV6091IjJaRE41vgfweeSGH2JNKfVbAG+KyPT8XZcA+HWETQrSKtTA0F3eQQALRKRRRAS539PLEbepYiLy0fy/kwAsR+38vkLF7DsCgDMB/FvueoARAB5QSj0RbZMC8y0AG/LDXa8D+O8Rt6di+TmKSwF8Peq2BEEptVNEtgB4Abkhri7URmmeh0XkdABZAN9QSh2JukFxwDJDRESkDQ7fERGRNhiUiIhIGwxKRESkDQYlIiLSBoMSERFpg0GJ6oaIDOYra78kIo+JSFP+/skiokTkr4see4aIZEXk+9G1mKj+MNqvmg0AAAD5SURBVChRPelXSs1VSn0KuRX23yj62esArii6fRWAvdVsHBExKFH9ehZAuuh2P4CXRaQlf3slgAer3iqiOsegRHUnvw/RJQAeNf1oE4Cr81uTDCL+2ycQxQ6DEtWTlIjsBvAugHHIVXAu9gRy5XtWAdhc5bYRERiUqL70K6XmAjgHwEgMn1OCUuoEgF0AbgbwcPWbR0QMSlR3lFJHkdt++y9EJGn68d0AblFKvVv9lhERgxLVJaVUF3Ibr11tun+vUur+aFpFRKwSTkRE2mBPiYiItMGgRERE2mBQIiIibTAoERGRNhiUiIhIGwxKRESkDQYlIiLSxv8HmhPsU97CZRYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x21682f4abe0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.jointplot(df['RM'],df['MEDV']);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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wlHBGUsvVQ6XI/T6tDUHUqHlsGjANRVskyFA8g+vpmtWQEuYPMRbCGUmt1faXS8bnfh/LVCxvCWMX/GUbyjcYvdEUKccjaBX/2VerRyVUF2IshDOSWqrtn0wyvvD38TSsO2cx71x7FqahMA2FZfgSIK6GgFXsekzbo3rxYbjnWvjqRf7jiw/P9FcVqhiltS7/rnlm3bp1es+ePfO9DEGoCOVEAjdu201PNJlPxgPE0w7tkRDbN1067n43bts9RlzQNhWJjEdnS5iwbZLIuGRcPXVD+eLD8OCnwAiAHYZMArw0XPMlWHXVtM7DGYAq/5bqRRLcgjCP5LwG21TjJpyPDsQxFRzsjZF2PUyl0Fpz+FScjdt2jzEuOePz5OF+QpZBa0OQxmwyX2tN91CC9khowuqqsjz2Nd9QBLIeSaAO0tnXxVgsSMRYCMI8MpkS3kjQ4kBPDNNQKCDpeAAELWOMcSk0PkFTkXY9TgwlAGgM2yQyLud1NE7okUyKwVcg1FL8mh2GwSMz269QtUjOQhDmkcnIc+dDxRoyhY0TWo+pZtq66yAZ16V7KEnK1Tiuxst6Ewd6ohw+FWcwnp55c17z2X7oqZBMAppXzGy/QtUixkIQ5pHJlPDG0i7LmkNYpkLjVzfZBnjZnxcalwM9UfqiaRzPlzE3DYXrQcrVoKGzOUTa9WberX75Fj9HkY6D1v6jl/ZfFxYkYiwEYR6ZTAlvTh+qq62B+oCJbRoYyiBg+n++hcYl7XigfE0ohcI2DRR+ZvW8jgiN4cDs9FasuspPZkc6IDnoP0pye0EjOQtBmEcmI+dRqCjb2hDg+GASgCUNwTHGxa92As/LKtTqbFPeqDqcWemtWHWVGIczCDEWgjDPlJPzGG1QzmtvQGvNSNqlPRIqMi6rOhrHlMtqFIaapd4K4YxFjIUg1ACTnfeQ80IiIYgmHVKOh1IQMBXxtFPUW1Gt3epCdSI5C0FYQOTmWgzEMyQdl4CpaG0IELRNbENVfbe6UL2IZyEINUK5Tu8cjx/sp7MlPKbju6U+yEOfGNtfMdn9Cmc24lkIQg0wlWFNpXo3HNdj75GBMUKEtTIESph/xLMQhGrgxYd9qYzBV/yGt8u3FFUa3fHgC/REk7ieJmD6Eh658tfRXsDylroiLanzY7t5Z+LHLDd7OZU5i+3913Pr/Yl80jzjupyKnU6IN4atqhsCJcw/YiwEYb4pFOULtUD0pP8cv29h5/4eDvTGMJXCVArH1ZwYSrC0ydd32rm/hzsefIFDp/xS2LaGAKmsJMib9NN8OLmVNBYxI0KL18+W9DYIbGLrrjAHeqIMxTMYWXVax9P0RdNk3Og8nhChGpEwlCDMN4WifEr5j0bAf52sfpRhoJRCKYVhKAwUJ6Mp6gMmn9qxj5d6R9Ba+0KBwylSGZeAafB78R2ksXGsMKZhkFIhMlhsdP6FYwPxMU18hlKgss19glCAGAtBmG8GX/FF+AopEOU7OhCnozGI1uBpTe5fxtUopYilHN/rMIzslyLtaprrAlwQHiSlAmQcj5Tj4WpNiiDtbjedLXXY2W49z/MNjef52lOB0V18whmPGAtBmEXKTbQrIjc8KHYS+l6E1PDpnxWI8uXkPpY2h7AMhetpDKVY1d5ANOXgZru1cygFjudx4OQwv060UEca8AUJM46H5SU5oTrYvL6LVR2NLK4PYJkKV/uT9hbXBzivo7ESp0eoYcRYCMIsMaXKolyeInoSGpaCl/E9ieTQGFG+nH6UaShWttazYlEd7Y0hbrl6Nctb6jANhS4Wo8UyDNKu5p8D7yRkuETMNEpBmBQWGawrtrBhdTub13cRsEyWNIV4bUeEJU0hApYpDXvCGMRYCMIsUTibQik1sWBfYZ4i3ARNy8GwYfjEGFG+iUbAXta1CNfTpFyPZMYl7bi4niYSsghYBs/VvZG76/4nQ+ZiWs04I4FWvmpvYs1b3lN234JQiFRDCcIscXQgTnN2Il2OcQX7ssODokmH3liKtGMQMJex2Irzx+nPcvQncZa3nJ6CV0ruY+f+HnbsPU5rQ4D+WJqUq3E1dDYFuf36i9i66yA90SR7g+vYG1wHnB7HWshkpUSEMxvxLARhlpjMbIo8zWczMhLj+FCCjOv5U/CcBL9ONHP4VGxSDXI5T6a1IcSqJY1ctKyJc9vqWb6oPh9iKid/LgiTRYyFIMwSU7o4X76FWHyEkE5iALaXwPAy3O1cy8nhFLGUU3buRLlO7a27DnLDG5aVDTFNKSkvnLFIGEoQZokNq9u54dgg3/rlIUbSLvUBkw9fsbJ0iGfVVfyt8WE+oO6nze3mFbeNu52386i3FoATg0mWNkND0Bp37sToTu1oMsPxwSSWqfKeyY69x8c1EFt3HeRAT5Ro0qGlzqa1IThmprcg5BBjIQizRC6H0BYJsiIrBb5j73Fe39lc8sJ7ou3NfDL6W3QPJXE8TUb7jXCG8stfe6MpTEONO3eicChS2DbpHvKHInVEQvkEezztjJHuyFVt2aYinnLwtObUSJqgZdIYtktuIwgShhKEWWJK1VAUhq1c0q5Hth/OH2nteoykXY4NJLisa1HJ7UdXMmlgWXOIxoIke6kEe+E6M55fkmug6Iulxt1GEMSzEIRZYkrVUJwOW33l5wfQ2p+TrbNfZJ8vqrcn9E4KK5k2bttNTzRZ9PPRCfad+3vYe2QAT/uChAa+cVLKN1ClthEEEM9CEGaNwmqoaDLDwd4YL3QPM5TIjJs0fvxgP0uaggRMg4BlYGQ7sRVw9uI6WhtCE3onhZRLsOfCTyq7fydbauu4vgxIwDSkYkoYFzEWgjBL5C7WfbEkxwcSpF0PQynqAuaEsycW1wfzUh5e1qMwDUUk5Hsphd7JRJVL5RrscuGnJU0hQGUFBP1jGUoRtg1pyhPGRcJQgjBLbFjdzm3Azfc+jQaC2bkTpZLGuWqk3miKvmiKJU0hutoaONgby8+VyJELCxUmpgv7MAorlyZqsMuFyZRSLG32E+gpx8M0DLa+/xIxEMKEiLEQhFlkw+p2GsM2KxbVoQrU/UZ7B7mL/pLGIMcHkxwbSLCs2Zfp6I2laQxbaK1JZNx8WKgwMQ3kq53ufGj/pMaiFpbaRkI2kZCd7+gWQyGUQ8JQgjDL5HIXwwk/b7G/e5iXemPUB/wGutzUuyP9cfpiaVrqbCxTcXwwQTztUmcbjKRcuoeTRWGh8ZrwXuyJTUq8UDq6hZlQMWOhlAoppZ5USu1TSj2vlPp89vWVSqknlFIHlFI/VEoFKrUGQZgPNq/vYiiR4figL+WRSyafGklz189f5EBvDM/T+al3g4kMkaCJBtoiQc5eXE9bJEhdwCryEkrJiZwcTk26XFdEA4WZUMkwVAp4i9Y6ppSygV8qpR4EPgl8RWt9r1LqbuCPgG9UcB2CMGfkchFDiQyup8FQBC2DtkgQ01B865eHsA0DDdnJd4AHp0YyBEwD19Mc6hsh7XqYSnHnQ/vZsLqdnft7GIynOXwqjm0qOiJBLNMg43l0NhcPTipXrivGQZgOFfMstE8s+9TOfmngLcCO7OvfAa6v1BoEYS4pnGcBYJt+lVFbJEgkZBO2TUbSbsmpd56GxpDFiUG/m9s0FJ7WvNgT466fv8it9z9P2vXobA6BhmODCWxDcV5bA5ZZ/GcsfRJCJahoglspZQJPAa8B/gF4GRjUWjvZtxwDlo2z7SZgE8CKFSsquUzhDCXnBZRLDE+WwgR0wDRwXL8OtjeaIhKySWR8vajc1LveaCrvQdQFDIaTDio7Dxv8ElrbhLsfPYindb4XYklTCNNQtNQHx0h+FCbEBWE2mdCzUEqtm8nOtdau1not0Am8ETi/1NvG2Xab1nqd1npdW1vbTJYhCGOY0lS7SXJ0II7jehzsjZHI+BIerueRctx8MvnDV6wsOfXuj9d3kfE8tD49C9tDEwmaxDMunva3cTztex+ux7GBuOQhhDmjnGfxTaVUA7AduFdr/evpHERrPaiU2glcCjQrpaysd9EJnJjOPgVhJoxXhjoTAb1I0OJATwzTUAQsw++M9sAyFO2RUN5zeX1nM1t3HeTYQJzOAo/m3371Kof747ie70G0NoQ4GU36woK5fwo8NCeHU1y8ogWQPIQwN0zoWWitLwauBVxgh1LqGaXULUqps8vtWCnVppRqzn4fBt4KvAD8F3BD9m0fBH46g/ULwrQoVYY6HQG9wo7qV07F8Tx9WuCppM8MG4x9bA/czi+CW9geuJ0Nxj4APnPN+bRHQqxYVMfK1nosU5FxNYvrbTx8b0Nrjet5JB2PF08Oy/wJYc5QWo/ziS71ZqXWADcC/wPo1lq/aYL3vh4/gW3iG6Ufaa1vU0p1AfcCi4CngfdrrVMTHXfdunV6z549k16nIJQjJ7qX8yzg9MjR7ZsundQ+CpvrwrbJC93DAFhKkfE0WkMu93z24noyrubr6/pY86vb/fnbdhgyCfDS+ZnbuTxKzusYjKdJux6Oq+mLpUg6Hp6nsQx47ZLGfI5CQk81gXrqqafaLcv6FnAh1dvn5gHPOY7z4UsuuSR/JzLpBLdSygDagQ6gHuid6P1a62eBi0u8fhA/fyEI88ZME8M79/dw871PM5J2CFkmbZEgIcsk7XpYpoFlkk9wozXdQ0lSjkdy11cYiZjUN2SrlQJ1kAYe+xqsumpMSKnQIK1sreel3hgOsKwlTCzl0BtNkXRcbr73ae668WIxGFWOZVnfWrJkyfltbW0DhmFM/k59DvE8T/X29l7Q3d39LeAdudfLWjal1JuVUv+IX7n0aeCXwGu11lLyKtQsM0kM5y7g8bSLVZB0bghaoCHleKRdD43OKrpCKuPias1ZXg+Hhj1ORgucaTsMg0fy+y4UCgSKZ1Zof2YFkC+ztQxFPO3OOEEvzAkXtrW1DVeroQAwDEO3tbUN4Xs/eSb0LJRSR4Ej+GGjz2utT1ZuiYIwt0w3MZxLjgctvzzWMBQemljKoTUSYCTlknI8PM8faFQY6j2m22hnkN6oos42iYQsPxTVvGJ8ocB3vC4fGsuFz7qHkvkyW8+DoKXyndviXVQ1RjUbihzZNRY5E+U8iyu01m/SWn9dDIUg+OSS460NwXziGTRJx8U2Te668WI+tuFcXD02x73VvZaAcgjpJL3RJKTjfs7i8i1FmlGH+kZwXD1GuiOn75R0XOB0iW1rQ1Am3C0Qjhw5Yl177bVdy5cvv/Dcc8993ZVXXvmaZ599Nnjeeee9rvB9n/zkJ5feeuutHbnnmUyGlpaWNR/72MeKete2b9/edP7551/w2te+9oJzzz33dV/84hdbp7OuctVQryilPqiU2quUGsl+7VFKfWA6BxOEWiYXIuqNpnip1xcnWNoUxjIVrgf1ASsfynr8YD+Wocbs41FvLX+RuYke3YydGeK5aJh9F32Wnd6aMZpRJ4YS+X6KHLnwWX3A8styTcXSpjCNYVs6txcAnufxjne84zXr16+PHj169LmXX375+b/5m785fuLECbvctvfdd1/TypUrU/fff3+L5/lTD1OplNqyZcvZDzzwwIHf/OY3v37uued+/bu/+7vR6aytXBjqA8D/wtdz2oufrnsD8EWlFFrr707noIJQitnuqJ5NSsmKHx9MsKw5xJKm0JiKpKMDcTyt8zmNQh711vJLvZaQbbIkGCKzR1Mf2F9SM+pkNMXFy1uKtt+wup27bry4qBJLFGQXBg888EDEsiz9p3/6p/kCossvvzzxm9/8pqzg6vbt2xd99KMfPfnNb36z7ZFHHql/61vfOjI4OGg4jqM6OjocgHA4rNesWTNh9el4lAtDfRR4p9b6v7TWQ1rrQa31I8C7sz8ThFmhEh3Vs0lhE19jOEBnSxjLUHQPp0omx5e31GGosYYih2EoWhuCeZXYg30jJTWjxjMA0rm9MHn22WfDa9asKRlLPHr0aHD16tUX5L6++93v5qUtYrGYeuyxxyLvfe97h97znvf0f+9731sE0NHR4V511VWDK1aseP1111238hvf+MYi13VL7b4s5UpnG7XWh0e/qLU+rJRqnNYR55hqvlsVTlOJjurZJDdlLkckZNMQtBhKZEr2ZWxe38VH/k9/yX0p/Lu0E0OPVcBjAAAgAElEQVQJ+mIpWhv8m0bLNGgOW1wQf5JN5gMsN3vpsTq4xPgccNWY/Ujn9pnF8uXLU/v378+raHzyk59cmvv+Rz/6UfOll14ajUQi3vvf//6BtWvXLnUc56hlWfzwhz985cknn+x58MEHI3fdddeSn//8540//vGPD0/1+OU8i8Q0f1YVVPvdqnCa2eqorhSlZklMlCPYsLqdxpBF0DJQ+AYiaCosI5f0VvncxPHBJG31NkOJDK9L/H/cZt9DuxpkkHpavAESP/0EvPhwZX9BoSq46KKLEvv27Zty4unee+9d9N///d+Ny5Ytu+iSSy65YGhoyHzggQciuZ+/8Y1vTPzlX/5lzyOPPPLiQw891DLRvsajnLE4Xyn1bImvXwGrp3PAuaTwbrXcYBhhfpnqxXiumc6UuVUdjXS2hLlwWRMXLmti1ZJGDKVQQN6CZHPgkXCAtoYgm80HSGuLpAoRsEwyRohTSfymPWHBc91110XT6bT68pe/nK9YevTRR+teeumlcXMW/f39xp49exqOHTv27PHjx391/PjxX91xxx1HfvCDHywaGhoyCo3GE088EV66dGl6OmsrF4YqpRJbM4wOHUB13a0Kp5kvqe3RYcrPvOYoa458BwZfgeaz4fIt+c7q26CkAOB4+4tkw1RA/ndytaa1wSae9hv3AqbBksYgsZSDBs6x+ojSQLBgfnfMtfNNe8LCxjAM7r///pc/+tGPLv/qV7+6JBgM6s7OztTXv/71o+Nt873vfa/l8ssvj4bD4XyC7MYbbxz83Oc+1+k4zrEvfvGLHR//+MfPDoVCXl1dnfftb3/70HTWNqE2lFJqtdZ6f/b7YKGGk1LqUq317ukcdKpMVxtqNvR/hLljtC5SpfNLo7WdLow/yZ+kttLc0EB9fcMY3aap7i83h3txfYCRtO8lDYykyHi65GcS4E9PforFeoCU8p97WlOv0nQuPwdueqAi50GYM9S+ffsOr1mzpm++FzIZ9u3b17pmzZpzcs/LeRY/wC+VBXi84HuAfxz1vOqQwTC1xVwnbEcn1Tc6/0IGi5NJg64GNUa3aar7yz221Ad56BP+zclpqZDSn8nv33c9n8xsAyChAwRJ0RZIQbwfvnpRkbcjCHNJuZyFGuf7Us+rDikvFCZidFK9wztJRoVIO97pNxXoNk11fwCO67H3yEBJrafu4SQnBhOcGEyw+XtPcedD+1nxxnfw3ZY/oZdmWowR6sN1xFMOh3sGORgLMHLqBDz4KUl4C3NOOc9Cj/N9qedViZQX1gbzUeK8vKWuKEx50uigyT2FaRUk1bO6TRORW3tvNEVfLEVHJERj2CaazHB8MIlVQutp8/ouPrVjHxlXYyhfP+pAT4y+3a/wxRveyyWr/4Sd+3uI/OhdLKaejBnG8zRHR2B5vUn9JL0dQZgtynkWnUqpu5RSXy/4Pve85OxsQZgq81XiPLrCabt1PTYOHSEPtC7SbZrM2pc0BrOlsAmGE2m6h5IAdERCRdV4dzz4Ajff+zR9sTRufu6FgWkookknX623dddBlmrf2wHylVQnE0oS3sKcU86z+HTB96MzzDKNSJgV5qshb3SF0yuL3kTfa1aw7Mh3/Itx84qy+YHRa1dK0T2UpHvYrwVZ1ux7GTkc1+PwqdMtShrIeBrwME1VpAV1dCBOj7mEFq+fFKcNhuEkoFnybsLcMqGx0Fp/Z64WIpy5zGeJ89gw5aXAeya9/USd3Z3ZMFchJ6Mp7KwXEc+4kFWmdbXG0ArLMPK9Jctb6tjefz1b0ttAJ0kRxNZJwqY7obcjCJVgwjCUUur+ib7mapHCwqbaG/ImYqK1j9fI19EYpC0SxFQqn/jzNLieJhKy8pVRm9d38ZjxBr4W2MSAsYgGHeWUWkT3m26XfIUwI3bs2NF4zjnnXLhixYoL//zP/3zJZLYpF4a6DDgKbAeeoAYqoITao5ZLnCdae6lGvoBpkHY96gIWnS3QPZQk6XgoBee1N3DL1avzns7p7cN8fOBiOttF20yYOY7j8IlPfGLFv//7v7/Y1dWVWbNmzfnvfve7By+55JLkRNuVMxZL8BXMNgLvA34GbNdaPz87yxaEsbmDuWjImy3KrX28mdrxtEND0GJZS3iMvPno/dfCeRAqw8+ePdH4zV8cWvLqUCJ4VlM49ZE3r+x+++uXDs9knzt37qw/++yzUxdccEEa4F3velf/jh07mi+55JLuibYrl7NwgYeAh5RSQXyjsVMpdZvW+uszWbAgFDJfF8XRJbuXdS3i8YP9Uyrhncraa9kwCnPLz5490fiFn72wwjaUjgQt51QsZX/hZy+sAI7MxGAcPXo0sGzZsrw+VGdnZ/qJJ55oKLddOc+CrJF4O76hOAe4C7hvugsVhPlktHZTbyyFZSgG4hmODSR4/OApTAM6m8On+yIgfzHfub+HOx/az8G+EQBWLq7jM9f4Emol+0RefNjvAC/Qmtqw2teayq3lsz99juW7pmY0RHp/4fPNXxxaYhtKh2zTAwjZpkfGNb75i0NLZmIsSkk8KaXK9s2Vm5T3HeBC4EHg81rr56a7QEGYbwq1m5rDNi/1xPxubeUnmHO4HhwfTNLZEs6rFOcu7p/esY+BeIbcxNSXeke4efteArZJU9gu6hP5+olHWfOr28EIQKgFoif97mu+xE5vTdFaShmmyf4eU9lWqB1eHUoEI0HLKXwtaBneq0OJ4Ez2u2LFivTx48fzKrbHjh0LLF26NFNuu3KexR8AI8Aq4GZ1WglTAVprXRMDkIQzi/Huukf3RLhao/H770bjepruoSSGgsOn4mzctptjA3H6Yml/9Gn2fRoYTrkEHI+zmsIAOK6mJ5oksfMrHLNdmhoDRFSx1tTW9GfH7S2BcbyULNU+KEqYHc5qCqdOxVJ2zrMASDmecVZTeFpjUXNceeWVI4cPHw7t378/cM4552Tuu+++Rd///vfLzm0ol7Mo1+EtCFVDLkT0Yk8M21R0RIJFd92jeyICpkFmnBGTGkg6Hqbyv3/y0CncrFFRjNW6Sbua4awc+YmhBApYZvUQdSMM9scxFIRsk7b6AJHBIxxNle4tOXByuKzXINL7ZwYfefPK7i/87IUVZFwjaBleyvGMjKfVR968csJEdDls2+bLX/7ykauvvnqV67q8733v61u3bt2ElVAwiZyFINQCedmN4aR/gffgxFCSpU1+KGn3f/yQu91/ZvHAq/SYS7gv9G6ikTXET8UnFDlzS/xwvPe/0n/6Yq0UHNNttOlBHIJ4KDKux6mhQZy25Syvqxsjn5/IuKRdTVMZr2G0plVu21roSxEmTzYvcWS2q6EA3vve9w69973vHZrKNmIshAVBLjTjao1pKDzPDwcd6Y9zVeBZ3m/8b8LhOl5N1VPn9vGH6X/giHMTR9XakgZhpmgNdzvX8gX7HkCR0DZhHCwctjrXsvktpfszApZRdrxsLfelCFPj7a9fOjwbxmE2kDCTsCDIyYMHTAPH1WRcz89HAB/ifpKexcmEgVKKBEHSWHzEfIBwwByzL2vUX8V0O1Ef9dbyF5mb6NVNtKgRBoxF3F3/P/lZ4nXjyuef1x4p280u0vvCfCCehbAgyIVm2iJBXjlVHA7qVL0M6noKiwMTBOhUvcRSpy/MtqnwtMbz/LuoXFZxKo5H4XbgG4xH02uxDVgUCDI0mEGTYuO23Wxe31VyYmMpr+GyrkVs3La7KOkt0x6FuUSMhVBR5qIfYOf+HgZGUhw+NYJtFLsFAUPRay6h0TlFQgfzF/4waY7ptqL3GkDGA0PBikV1HB9MkJlijGq8d2c8X0TQVNDZEuZQX4zN33uKSMjivPZI/ryUatq7rGsRO/Yel1JZYV6RMJRQMeZiTkXuGBlP09kchmz1km0qzl5Ux6oljfy07gYCyiFMCtCESRHAYat7bX4/CrBMA8sA01BEQvaYiqPJMJFpUYBlKEBxaiSNpzXxlDPmvGxY3c72TZfyi1vewvZNl/L4wf58qWws5dA9lOT4YJyb73264jM/BCGHGAuhYhT2AxQO/8n1Esz2MRrDAc5rj7CkMYhSirTr8nJPlO/1n8fn3A/Ro5tpYYRe3cytzk086q3N78cyFGnXw1AK19O88OowvbH0BEcuRkG+UW88ApbCA/piKQwUpqHIeLrsecnlY6LJDCcGkziexjIU8bQ7J0OiBAEkDCVUkLnoBzg6EOct5j7ePXQfHd5JThod/Dj0Ln6SOp/+kQwZ188gPOKs4RHWjLufjKeL+ie8UZ16pXorCtFAnW0yki7dtwF+dVbINkm7ni9Prv1eD5j4vOTyMb3RFEr5A5A8D4KWKuowF4TJ8J73vOec//zP/2xavHixc+DAgUmLwoqxmADR35kZk+0HKHWeYeIu5hzXhp/nAwPfwFE2URpock/x4eg/8krmJh5jLYZSoHVR0tkYJe+RQ4/zM4UfmnJKbVTARIYC/J6NYLbUKu16KBRtkeC45yVHrlQ26bhY2bJgD01rQ0ia8YQp84d/+Id9W7Zs6fnQhz60cirbSRhqHOZrLvRCYrzhP4X9AKXO86d27OPTO/ZN6txvth4gjUWCIC4QdQOktcVm8wEcDxxP40xwjR8dOhrPiDie5krjGX5g386uwBZ+YN/OlcYzkz4XQVPRUmfheJqwbWAoxeIGf6peqfNSSK5Utj5g4XpgmYqlTWEaw7Y04y10nv9JI9/8nVV8efVFfPN3VvH8T2YssXTNNdfE2tranPLvLEaMxTjMRbx9oTOZfoA7HnyBnmiSI/1xDvWN4LiaWMohmnTKnvud+3vInDpEXAdwPE3G8VBK4ZghVhi944aNtIYNxjNsD9zOo5O88F9pPMNt1j20qUEGqadNDXKbdU/Z7YKWQdD0cxVpR6O15ryORhqCJiMpl+7h5KT6JDasbueuGy9maXOYJU0hIqHyRkaocZ7/SSMP/fkKRnptgo0OI702D/35itkwGNNBwlDjIPo7s8NEsx527u/hQG8MUylMpXBczYmhBJ4GNepSP/rc5zySv/PaaPb6iZMV4tSaEGl6zPEnRa43nuHz1j2ksRjQpy/8o5PehWw2T3swQP5xs/lA0TbZqFceT2s/ma0g6bi4Hhzqi3FWU3jMVL1yyCyMM4zH/n4Jpq2xw34U1X80eOzvl/C6d855V7cYi3EQ/Z3Ks3XXQWzD8FVclUIpwANXe9hmsdObO/c79/ew+z9+yIa+7Xxf9RD1QjQaI2jtN9qFSKM8h+3B68c97mQv/IV0ql4GqS9eU7axbyIyrsZQ2s+FeGAqiCYd2iKhaanFyuS8M4jh40GCjcXhIivkMXx8RhLl00XCUOMwmXi7MDOODsTpaAyitX8Hnv+nyYdZCs/9ZV2LeOC+7/KBga/TygADuh5buWgNGSyac2WxmZv4t+SF2ON8ujtVLwkCRa8lCLA8e+E3FIQsA1WQzzim2whTXEpbqrGv0KtQ2S9P+zMywM83pN3T6XbxVoVxaVyWwkkWf4qdpEHjshlJlE8XMRbjIPo7lWd5Sx2WabC0OYRl+P0NhlKsXhLhizesGXPuHz/Yz++7/4KjbJIqBPg6T8PUM6gbuDL9NX4/81ke9daSdDxsy8RUFF30ofSFv440J80OTEPR0RjMG7EcW91rCTBxYx+QP96iOpu6gJkXBgyYvvHxCsplQbxVYQIu/3g3bkaRSRj+HVHCwM0oLv/4jCTKr7vuupVXXHHF6kOHDgU7Ojpe/5WvfKV1MttJGGoCzhSXf75KhHMlobapWNlan4/h33L16pLn/rM/fY6zdA9RGrBNSGXLnHLhoNy1PWAqLjl7EUcH4pgKTg6nSDqn7+a3utdym3VPftswaWwcft5yI1sueA2PH+wfc7f/qLeWW52b2Gw+QKfq5ZhuY6t7bVHYylBQH7QIWAb1AZP4cIqU42U7t097GZGQhdZ6Qt0nmFzpsFBhSozFZdVVc3NsPy9xhMf+fgnDx4M0Lktx+ce7Z5qv+Nd//ddD09lOlZrHWm2sW7dO79mzZ76XsSApHNFZKFw3V15UzlCNl7AtNGT9sTTfVp+njcGsZ+GHr8Kk6NXNvC/zWcC/KH/irefx+MH+fN7p168O43k6b1CuNJ4puvBvc6/lnr/+f4vW1vVnPytZSlsKy/BzLk0hi7ZIiAM9MUxDobUm4/mhtbqAyR+v78obo9G6T7nzP5zIoIGmsD0v/ydClhcf9sfgGgGww5BJgJeGa740XYOh9u3bd3jNmjV9s73USrBv377WNWvWnJN7Lp7FGc58j+gsVy2VM2SmgpTjcrfKegU6STzrFYwOB11pPMNv//KveDc9HPHa+JZ3Hc95a4rqqx711vKotzZvNG6z/omnbvs3Hm6+kboL/m8eP9hfsvR2tJHJeRe2aeB4HmnXL48FQPvd1gHDn7OxoiXMzW9dxc0F+9u4bfeY8398IAGK/JhWGZs6Tzz2Nd9QBLJhwoKxuHPmXVQRkrM4w8npDhVSLUnXQkPWF0tjmQb/zcX8pXMTvTSfTmg7N7HLW4tS/sX8TmsrF+kDtOl+1qiX+GvjbtaX6IcY3TvR6PSzse8unnrkn3ny0KkiSfNS7y/stXA8DzQELINY2mVZcwgrO4zJMhXLmkMlO7xLnX/H83C9iUuHhTlg8BXfoyjEDsPgkflZzzwjnsUZTjWXCBf2uqRdD9NQWIbiv/XFnGq7kpd7osQzfk4gN6HoFnM7LSqGh8LBwMCjRcW4xdzOC3VvpKdAHHDCEtqMn4so1ISa6P2/cNbS0RjknMUNAPREk3S1NeSPFU87tEdCY37HUuffMowxE5eq5f/kjKL5bIiePO1ZgB+Kal4xk716nucpwzCqOv7veV62kP004lmc4VRzifDylrr81LiA6ReEFIrvNdX5hkRD/mcrjW48FB4GZB89FCuN7iJDAeOX0Bb2TuT+ohVwjtlHkkC+JDb3/uVGL0qBbZpsXt81pXNa6r2RkJWXAam2/5Mzisu3+DmKdNz/cKXj/vPLt8xkr8/19vY2ZS/GVYnneaq3t7cJeK7wdfEsznCquSu4cNZ0a0OA44NJAJY0BImnHeIlwjrj/QWWev2YbqNNDeY9BCjdO5HjFa+Vs4whYjqI1hoDCKkMx3Qb9QGrKAFdaoDR1l0H+exPnyuqbip1/v/i7RcA1fl/ckax6irgS9lqqCO+RzHDaijHcT7c3d39re7u7gup3pt1D3jOcZwPF74o1VBCRZhJOW7htg0BE6UUsZRDQ9AvOR1JuzQELQ70RHG9Yunwfwt8hteo43mPwkBj4PGSXsbb0ncUHSeXg/BDS6eT5aNlP3KqsxvMZ/iC/R1S2iRFkLBKY+kMf2dv4tp3fWBSiXqpbjqjqVpvYjKIZyHMOoUXx6mOAR29rX9h9fjC711YtO3GbbvxFaROm4qcqJ+Jh4mHCzjYDNPAnc6NY441md4J8I2R62merfstvqRsPtvyczKnDnFUt/Fwy41c+7vvnfD3mu+KM0GYDcRYCLPOTC6Ok90213CXE84p9BKO6DY61CA2Doe9Du50N46r+ZQroZ0If+Sqoj+e4dftv03LRz8NQDtwSfnTIaKUwoJAjIUw68zk4lhu21yIqjeaIu2e9iqKK5WCRHU9YVIMEilrDCaDgcKloIdiClRzxZkgTBYxFsKsM97FsSFojZG1GO1pjN52OJHhZDSJ1nDNV3fRG0vRFLZZ0hjklf5EfrvpqsJOBo3vWSxpCI47DW+iHE1hor4wZyHVTUItUbFsvFJquVLqv5RSLyilnldKbcm+vkgp9bBS6kD2saVSaxDmh8+85ih/O/JZtvV/iNuH/ozXjTzBcCJDbyxVdvpdYSnpcCLN8cEEjqtpClns747SF0vzcu8IRwsMBUxeFXY6GAraIkEs0yjpDZSbqiiilMJCoGLVUEqps4CztNZ7lVIR4CngeuAmoF9rfYdS6jNAi9b6lon2JdVQNURWT2fEMTmZUBhOgrDpcldwM7vNNxR5G7lGte2bLi3aRe4ufe+RARS+RtJAPFMk7T2ayVY2TYdcNVRLnc0Xb1gzRrvq5nufZiTtELJM2iJBIiF73N9NOKOp6WqoinkWWutXtdZ7s99HgReAZcDvAd/Jvu07+AZEWChk9XTqGyK0RUKkzTBRx+Tt0X/mWH+c4UQm/9bx8hgbVrezfdOltEWCvKa9gVjKGSMzPppcZVOvLpYBmY18Ra4aKpYqnkOT8yjiaRfLUDie5sRgkmgyIwlsYcExJzkLpdQ5wMXAE0CH1vpV8A2KUqqkL66U2gRsAlixYkbt9cJcMvgKhFqIJh2ODsSzGkc2naqXlKv9mD51NGbLYnNhnVIx/+UtdRw+FSOedsedp13IZCqbwJ854U7RodZAIuPxqR37+FLWu8hVbgUtA8fVGIbCQ9MbTWEaShLYwoKi4h2ESqkG4MfA/9JaT1qHXWu9TWu9Tmu9rq1t5nFnYY5oPhsyCXpjKX92g4pzrjpBuxrkB/btvFk9Q18sVSRhUSrm/+kd+3ixe4hXh1KTMhRTYaqGIocCBuMZ7njwBeC0CGBrQxAPjedpQJN0JIEtLDwqaiyUUja+ofi+1vq+7Msns/mMXF6jZ7zthRokq6djZOLU6xjL6MPCpZtFtGdVWt/o7i1K8hb2VijlT8wbiGcYSDhVo4egANs0MBQcOuWHlxoCJi/1xjgxlPDXqfzxqaOlPwRhIVDJaigFfBt4QWv9dwU/uh/4YPb7DwI/rdQahHlg1VVwzZeIBVo5Sw2QweQEbcSoJ0mIjLL5f+ofYvumS/MX09Ey3b3RFEZ2BKlmbrOChvK/Rr9mmwZmwQ927u/h1Egax9V5ZVrX0zTX2dx148ViKIQFRyVv3N4E/AHwFqXUM9mvtwF3AFcppQ4AV2WfCwuJVVfR964dnFItvKyXEtVhtNZoNGkV4Fz7VNHbC9VlgXzVk6EKVF9n2WIYylevHW0YbMMgYBoEC+Zk26aBYfhT+TwNXa31bN11kMawTWdLGNs0/F4MQ9HWEBRDISxIKpbg1lr/kvFvCn+nUscVqoMNq9sZaO/C6TtG1PVlwAOWwbI6TXjxyqL3jm5aM5VfWbS4PkBfLO0bjFF5hukkqQvxtD9kyDJ8g5F2PQwFyvA9BNNQRCwTw1CkMh6O67+3PmiitebJw/0ETUV7Yyg/t0JrzVBBtZcgLCSqJSQsLEBa3vopzm6yuLDV4sKzIqxqNqi33DHzADasbueGNyyjN5rihe4ohqEI2waNYZtIsPRH1NPQEJj+x1fhjyjIuB4Z18M2DW5+y3mcs6gOQym0hs6WOv7oTSu5eEULZzWFWdlaj20aZDxNyPIfc6WyIBIewsJGjIVQObL5CyIdkBz0H0sMu9+5v4cde4/TFgly/pIIZzWFCNkmqbTDSGZsI55tKpSChDN91yKXf9D4hudjG84F/OS162ksQzEQT7Nj73E2r+/iF7e8hea6AE1hm7qARWtDMLu95tXBBAdORjl8aoSBkdSYrnRBWAjIPAth3tm4bXdJPahUxiNoG6QzHmQT3rNFLj4asAwiQZMvvWctm7/3FJ7WmFnPwsMPhTWHbVrqgzx5uJ+QZdDaEKQxbDOcyNA9nCTleIRsg46sJIjMqhDGQTq4BWEmFFZDDScynBhK4Hn+pArH9fAobShGJ6cni20qgrZBwDJwPU1bJMTWXQdxPH/Ot1IKw1AYKAbiGQ70xuiJJgmairTrcWIoQfdQgr5YipTj5zo6IiEawwHqAha2qdi66+C0z4cgVCOiOlvDzGQaXTUdt1Bpti+WwkCBAkNpJpCDwjIMtNZkJuFyWAYY2R4OA7/MynU9XA0v9cS40nyG71v/mh2C1M639XX8Qq0l6XiELIO6gEV7Y4gTg0lcz6MvlsYyfWtlKDgx5AsbNobtmpL6mK/PkFB7iGdRo5RTOq2l425e38VwIsOBk1FG0i4p1/Pv+BuCE3Zvm4bCUArbHN/FqLNN7rnpt3jpr99Oe2OIzpYwVtZDcDWYBlyhnuZW459oZZABXU+rGuQvjP/N5TwNQEdjNj+hfcPgZvs/DCBkGZiGgYGiL5YCaifRPV+fIaE2EWNRo4zuep6r8EcljvvssUEGExmSTrEbEQ6YhCz/I6qAoKkwDUXONjiel88rFIakDOV7Eqbyw1ibv/cUr/3sg/TH0qQcj662BsK2ScD0L/R/bP0Mz7Czg5MUSYKktcUm4wE6m0NYppEPj+VSfAp/qn1jyEJrP9Gddr0iGZNqZ74+Q0JtIsaiRhnd9QxzM6pzto+7c38P/7DzZTyti7J/rqfpGU7SUm9jGoqOxiDndURoawhgmQaNIYuw7RuToUQmn9NQ+PkN1/M9gLTnT7fTWpNyXHqiKXqjSdKuh0ajNawwesmoELZloJTCMhRGoI41kSFuv/4iMq7mZDTpr0+dliw3UIykXZY2hzCU7+XU0qyK+foMCbWJ5CxqlPka1Tnbx92666CfxNbFfXcaiGc8zg4HMJWiN5ZmIJ5h5eI67njX69mwup2d+3v41I59JOKZou0KH31UNnHtG4142sVQCgUsaQrRk1pCi9dPgiB1AZOu1npIxyGy0h9cBPlKKUspLFORcTUOmpQLqYEEpqH42IZzufmtq8b8jtWaF5Bxr8JUEM+iRimcKOdfAOcm/DHbxz06EB9jKArpjaUI2ibntTfQ2RImXtB3sXXXQX/GRJnyb8fzt1HKl+xoCtv86C0xvh/4K7bHNxHxhqn3YgR1krb6gG8ovHS+eXDD6nbesKKFtkgQT/uJcqsg7mWgWVRvs2Pv8THx/mrOC8zXZ0ioTcRY1CjzNapzto+7vKVuQt2nWMoZE1Pf/R8/hHuu5cuv/gH/pG7jCvXMhMfwNCQzLinHQwFvDz/Pml/dzur6OAmzEcPLYChY3NhAhFjJ5sHN67voH8mg8cNlbjbuZSmwLZPWhlDJeH815wVk3KswFZQ4fdAAAB6USURBVCQMVcNsWN0+L3/Ys3nczeu72HtkgNSo5LaBn0B2R5XFvkk/zR/0fwNUE0mzkTZviM9b95SdipfTl3KB33f/BawA9Q11dDUANEC6HiLtcNMDJbffsLqdhqBJMuORdLy8J+RocNIu+7uHCZgGQ/HiOeBHB+I0h+2i16opLzBfnyGh9hDPQphXNqxu52Mbzs17Fzknw8t+P9rpeGfixziGzcFhTdLxSOgAaSw2m8UXecsYu63CV4a1h4+AHS7+oR2GwSMTrnVVRyONYQszm+8oIuu9nBrJcMkX/oON23azc3/PGEVdkLyAUJuIsRAmzc79PWzctpsr7nwkfzGcDW5+6yo+8TvnYZsqf8fuN9FBxtX0xZL5mHq7e5IRz86L/1mmQZIAnao3v10gux/LULQ3BHzJccsgaPsf90NuKyMjseJFZBLQPPH43sJQlDWqfdzxNK4Gw4BkxsvnJi7rWlSUF+iNJjk2kOBAT3RWz6EgVBoxFsKkqHSi9ua3ruLc1npCtpGda22yqD6AAl4dSvHciWFeHUrSrdqpU2mMrCtiGYqImaHfXsJlXYs5qynMJWcv4tsf+C3WnbOI4aSDUmSrn/x/39bXEYuP+IlsrccktMcjF4oKmGPdFo0vI2IbBmnXy+cmHj/Yn88LdA8lGIhnWFRvs6QxVFXJbkEoh+QshEmVdhYmagHqAhbxtMPWXQdnLeYdS7u8pq0BpRTDiYxfKZX9WcBUpB2Prztv46+C38HQSVIECZLCVi7/x/g9tm+6tOj3efHkMEnH80NShpEXBzwQuZS/zdh8OfKoH3pqXuEbihJquKPPy6qORg71xYgmHRzXDy+ZhsrPwNCeP1QJTucmcnmB0YKJlTiHglApxFic4eQ8BttURR7DbVB0AZuLRO1ojahcRayhwDQMlNY86qzlLx3FnwQfpMM7yUmjg+3W9ZxY9KYxv89ZTWGGExkcz++w9hVjQ1im4kTzm+GmT0/5vFyyooknD6ezawLH80NQlnE6Gd/aEALG5iaqPdktCBMhxuIMZ7Iew1w0cF3WtYh/2Pkyrqdxs6qz4AsGAtlwEvyXu5ZD4csJ2yaJjOtLgmd7A0b/Psta6jg2kMAyFStb6/PvL9dLMN55+c/9vbRHAgwnHNKuR9D0Q1A623/RUmcTCVklexakCU6oZcRYnOFM9m539OjTyV50C5ko3JUbgFQXMBhKOHlDYXA6zJPxPLSGOtvANhRDiQydBfvZub+HvUcGcL3/v71zjZHrPO/77znnzGV3Z3a5y92lRIqURFs0a6ulLQiB1RgsK1utHBk2bLCtBBSti7ZWC6FWjapl+sExUH+oBKto3RZNpCZpglzkplSCOmlFRImtyGgkA7pEiGQxlENdeBH3xr3N7lzPefvhnDOcnZ3bzvXM7vMDyOHMzs55zhnwfc77XP6PR8KxmUknSCdjHNpnuLaW3/Z+LjwPf/pdWHkf9t26JRRV77psFFyOTI2Wdw9wY5zqt790J0+9eJHLy5tbj9PFa6gog0KdxR6n8m73rvwrfCX3LLPuNZZiN8MFt7x4hrIXjRbDRjQLdz3+3NtcW81ScP2mt7DPwgMKJbc8b9u2fPG+zaLHt7905xZn8wvff6uczC4FI08P7gPHtrjryGQ5pwH4juK5x8CKQ3IS1uf85/jNePV2AWNxf5GvHtRkjH9tGl2TTq+hogwSdRZ7nPBu9xMbP+afFZ4mb2xWSXF7IrNl8YTOGrieevEihZLLUsYP38Rti3TSKXcyv7OQIVDl8MM6+KqxrqHsKJKOxYHxJOMjsW2hsjBsdCCd5OpqFgm68K6t5pgdT267e1/+oyfZWHPJeC5xZ5OZVIK0hb/TOHZf3V3AP/nM7Zx97QqbhRIl1+PKSg6AQ/uSdfM9UdWGUpSdoM5ijxPe7U7/7rfIezZebJRDqQRjSccvKQ0Wz065MLfGWq6EhWCLUHINSxsFSu6av9BbFjnPKyu7+pVLELeg4Pm5ioLrcXklSzKTZzoV3xIqC8NGEvdrWhczeQqun/eolrB44fw8xxYuskEK2xKKrseV1SyHxpOkg8a8WruAe45O8dLF62zkixRdQ7bo4ljCTRNJ0kk/ZFXtxFotIOgX6riUdlFnofiLxegyTE2zRaipha7mVikG2wMraGYTAc8zFFzDpeVNDown+OB6dsvvmECeAyrGqhpDvuTf0X90Zqz83sqw0fhIrLz7mE0ny/mMcJFcyxb5VZllVlbI48uLe8awur5G+vBt22zPFl3euLzCyxeXSFTM2n5vaZODE4myo4Dt+Z5aifKF9Rxf/97rjI/E+j7hMEqOSxkutClP8dl3q9/FXEkLXc2tEncsML7qq8Hg+RODiDsWhydHcWyL2fSNiXSh1IdUTMILX3ODmlqpcGyNFFSrGwo3CiX+W/EBbFMkYXJgDCPkEfdGY174O+8tZVjdLLJZcP2Z4CWPq6s5Sq4hZgtza/kt51mrXLZyZsRatsjSRoGNQqnvKrRRFjVUoo86iz1MpXzH42t/m2wuu+Ou5la5YzbNdDqOE1Q2OZYwnY5zx2y6vNCnkg5HpkZIOhaW5XdnH9rnVx3FLEHkhiCgLXBhPlOWzGikoBoukiXX8O7iBp4HPyyd4FvFr7JsTTFm1rlamuBb7ld56IV0eRcSs4W1bGlLt3bJ+JdnMZPnQDpB0fMaSnxXa0OFo1eTjt33BVuHHSmdoGGoPUp1SOL54l9lsfhVHnWeI7FyiUtmhuf3/QM+7Z3gVIfHCbupM3mXqbEY+8cSW8pGK/MD78yvE3csxmybomvKyfCSa3Bsi5LnUXINHn7CuzqUUiuccml5E1vg6moOC38WRdEz/FHpBG9wN8v5EuAnqZ3g8zbyRW6eGCFf8rYp35Y8g1d0mVvPI8DCep64Y5UdX6Ny2VAmfSbYRUH/Fmzt81A6QZ3FHqVWLP3/FT7J7y99glsmR8oVQP+3g5h2dTf1YibP9Q0/OVy9sIaPv/D9t5gYEUZiNouZPPPrBcaTNgXXw/MMRdeUZ3BPpxINJTNCR7WwnqfoeliA5VhYCIjvdBY3iiRsa1uSOkxge2HIi60DmjwDJddwaN8Ijm1tcXyVVCfKR+M2Ywl7S56jXwu29nkonaDOYo9Sq+lsdbOI65muaRdVO6SZdJKxhMNsOrm156HB+wE2Cy4TSYeCa3C9EsmYzXQqwXhgf60780pHddN4gvevZ33Zc9fFsiwE4chUkkvLWYwxvL/k/37CsTgwniDuWOWkfL05fLdMjpQX/UZJ68odT2hXrQW715VK2uehdII6iz1KrZBE3vVIOt2Lae9EC6le9/V0KsFqtsiPztwLsE2MD2rfmVc7nqSTJ1fyKHkw6ggz6QS5oosxkA8aAQFyJY/Ly1mOHUhz5v7jfP17r/ujWyvszxZckjGr7CjCpLVnDEemRreFxqqdwOm7DvHSxetbFmygL5VKOuxIaRd1Fj0i6vXslTpMCcdvkHMs/7GSTkIkoUMquSboe/CwLeG2qa2f16j72rZky/FbDaVUO6qbJpJcWc5igNunx1jM5Jlbz5d3DZW7B9f4Eh6njs/ynx/8VHkRD493eTnLxOiNz66VtA53ZLDdCZx97cq23o+Hnn6556q+itIJWg3VA3o9+6FTQh2mqbEYcVvIlVyWN4v83J0HiDt2w+qenfDwyaOsZotcWclSdP3EbtiMV3ktnjh3nvm1HIWSR9E1QULZ776uPn6zudFhhde11Sw/+XCNn3y4xsWFDMbAdNofhHT+2hrX1m6o2tZicaNQ93iPnPoIMfvGdcr7srY1k9atlqtqpZISdXRn0QP6MfuhE0L7JkaSZUG8zUKJa2sF/t0XP9G1mPap47PcH/9zvlA4yyGZ5yqzPJv8Cq/G7y5fixfOz3NhPoMtfs9FyfWrj0xQKlt9Bx5+bi2bQiddKPk9EV4gB5svuVxZyTIas7At8ErbfrVMmMguVMwEr3W8v3bLvpaS1hfm1sgVvXJV13QqQTrp8M7cGg89/XJ555mq0pyq/AxFiQLqLHpA1OcWNLKvqzHtC8/zzzd/CdeJkWOcm1nlG8X/zi/GbH64fAK44biMB4IQs21sy88hfOrIZFNbqjuzHUtYyRbxzI32CNeDhCN+Gayp6AavgcEXK4zbUv9NtJa0vufoFK99sIxnTFni5OpqlrGsTTYYvbpvJMZ7SxkWMwVKrikn2CsrrBQlCqiz6AFRr2fvtn118zN/+l2MHSdr4lgi5EmCyfHl7LO8c+AewHdcB9IJrq7mwPNlQIwxlIy/2FbefVfvcqp7RT5cyZZFByuxLeGjsynevLpG3BasQHuqns9IJxzuODBe9zwvzK1RdA1xx2ImlcAYU9aLquy3eOrFi0yNxVjKFDGABFK6q7kSN437Zb/ruSJLmSIQdLkLXF7JcWw2xTcfOB6JnaiigOYsekIj6Yko0E37GuZnVt5nIj0ehIT8pTlr4hzw5srHCqU+Dk6M4NiCawyWJdycTnD2tSsN8z7V+YBti3+wOfCM3zMRqoOEw5Sqidu+tEi26G27FuF5vruYYS1XIlt0Wd4ocGFunZ8ubJBKOMykfQcQOrVLy5vsH0twcF+y3LkeswQB9o/5+Y2F9TwiYAf6VHfMprlt/yj7RuPqKJRIoc6iBzRLwg6abtrXMIG771bSdpFDEyPEbAvXM4xZRUZmbuwQQscVTrLbPxbHGJhbLzC/nmM9W+TdxQ0+uL7J/FqOJ86dLx87TAqvZYtcXMhsCy+FuwfP+OWthyaSfnhKKOtNge9Tko6FwZcVSSedujPI1wPlXMey/Hkbxl/oFzOFbcnrUOojnYxxdCbF8ZvGuXnfCKmEU5YAKbhesJvaPrtbUaKEhqF6RNTr2btlX8P8zJcfheceI21Bev+oL0zo2fC5x7bYUZb6mFtjPZAEWVjPU3IN85kCjuUPMPI8w4X5TFkL6vDkKO8uZljaKOC32dUOLVmBptTfvfswv/Hy+6znSv4ORnxHcXhqtJycXszk2Mi7fOaJH2wJfYXnmSv5neS4N44lgXz6lnOnfplv5UyMWCA9AvVndytKFNCdhdIR1UJ5ULHYHbsPPv8kpA9AbsV//PyT2+ZjnDo+yzNf+zR3HBjnlskRplNJEo5NsP4GyWoJEuA37twfPnmU5U0/3i8WOFW7hYRjEbctjkyNMjES46WL1/nO6RN86sgkN0+McGw2xdRYHNsSjDEsZnLMrxcYjdvbQl+HJ0dZzOTxKmaDh5Q8U94VVC709XZwX//csfLrowkHS4T9Y/G6s7sVJQrozkLpiKZNcsfuqzk8qVZSvHKXMpNO8F4gweEZf/aFh+FgOlm+cz91fNZfYPMlisGCPTXqMB802zmWlDvBjTE1q71COy4vb7KRd5lJxcsyI5Ulzw+fPMrDv/lqOWRU6TBKnuFQKl5zoa+3g6uuplIJDiXqqLNQOqI6jFQIKoLCu/9G/RDV0hbpIJY/GndIJ2MkHYtcoNLq2MJ0KoljC7PBYg6+9Hl1ZddqrggGjs6kyq/VC+1ULtqfeeIHDUuK00mHtc0ChQpPEbP9XYlnYDadbGuhj3rIUlFAnUXPiLrcRzfZohgbyGI00jaq17RojClXaY3EbCbHYsyvF5hJxZlOJWpKe9Ta2aQSDgLl1xYzeZY3i6xmizz09Mt1v4tmJcXTY3FWNoskbCnvMFxj+OhMinPf+BtdvqqKEi00Z9EDoi73AVsHH4UDhDphJ1PYKqUtwkqmD65v8u7SJqfvOlSO8d+2P8Wj936U26dTdau2auUFnjx9gu+cPsFsOsm11SzLm0WmxmLcNJ6s+128cH6e5Y087y1t8M7cOmvZwrawUnkyXzCyzzV+t/lfLmx05RoqSpQR00ggJyLcfffd5pVXXhm0GS1TSxk1nAddS5q731SGgSrzDJ2U94YhnMpRp2vZAtfW8sykE1t2V+H1CTuaLQSDwRJhdry7ZcatfBeV16Pkesyt5ym6hmOzKc7cf3xLmMoWWMwUyAaKtUFem1v3j3V8DZVdT2NZgIijO4seEHVRuF7MYq6uilrPFbmykkOEbbursLdibj3n/+8J/rppItn1EaOtfBeV12N8JF63MS5sIDw6k2IkZhO3LWzLIuHYOs9a2fWos+gBDctJI0AvnFl1V/i11RwAB9LJbQ4pDB25rqHgGgolD0u6Y0c1rXwXrV6PynMsuB4Gg6lQm43SDYGidBt1Fj0g6nIfvXBm1bkDgz/Teryiuqh6MbUsv28iEfO7p6+u5FjayHfVqbbyXbR6PSrP0RLBEuHgvhvjWKN0Q6Ao3UaroXpA1MdX9moWc2UJaJgrqKRyMX3qxYtMjsZY2ij4irMCHobrG0X+/Ze751Rb+S7uOTrFf/nhT8tjVOO2MDES45sPfLzuOYZ5jrChr1JptpH4oaIMK+osekSUa+f74cyaOaRLy5tMpxIkHLs8RS9uW4zErJbtaLU8udF38cL5eX7j5fdxg9GqBii6hlzVTqPWZ1Zfw3uOTnH2tSs9H42qKINAncUepdfOrJlDCnsaxkdi5VBVWKXUCvUa+3a6MD/14kXWcyVijoUVVHJ5nqHomabDqqqvoY5GVXYz6ix2AVFpAKxlR71S4U5DYeEoVtf4Mh8z6cSWBHqrXFrepOR5OPaN9J0IuJ7ZcbK6l0OvovIdK3sXTXAPOe00AHa7Ia8dOzqRSQ9HsZY8vyluo+Dy/tIm69nijhfmw5OjOJbld2N7/gjWXMn/3FRiZ/dSvaqCG4YmT2X30zNnISK/KiLzIvJmxWtTIvK8iLwTPE726vh7hZ32TPRq4WmndyNUm/3RmXt55mufbvlO+akXL2ILlDxfciPsA5zPFHa8wD988ijppEPJ9edkl2diGFjI5Hd0XXpVBdeLvhhF2Sm93Fn8GnB/1Ws/D/yxMeYO4I+D50oH7LRnolcLTz8bES8tb/peAj8hXakCu1NFglPHZ/nO6RMkHN92ARK2cDiQNd/JdenV0KuoN3kqe4Oe5SyMMS+KyG1VL38JOBX8+9eBF4AzvbJhL7DTedqtxNXbiY/3c+744clRPlzNErPANWW/QdwWNgqNq5hqcer4LFOpOEer5EpCWfOdfla3cwlRn+mu7A36nbM4YIz5ECB41Axdh+w09NEsrt5umKqfjYgPnzzqz9EWIW77A44cW5gci7e9gLaTb+hF7qcWUW/yVPYGkU1wi8jXROQVEXllYWFh0OZElp2GPpotPO2Gqfo5d/zU8VkeOfURLBFKnj+/e/9YnLhjt72AtrIgVzqH+//jn/Cvz77Rl6Rz1Ge6K3uDnqrOBmGoPzDG3Bk8/wvglDHmQxG5GXjBGPOxZp8zbKqzUafRZLZa6rHGGFazRX505t5BmVyTbk+Ya/R51Uq9P13IUHINt0yOlOU+oqQsrESSoVad7XefxfeBfwg8Hjz+7z4fX6FxXH2Y4uPdzg80+rzqgU2uZ7AEFtbzZWehSWdlN9PL0tlngJeAj4nIZRH5x/hO4j4ReQe4L3iuRAiNj9emuiIpHjTxFVyv/FpUnaqidINeVkM9VOdHn+3VMYeZqHToRl0EsRV6cS2rd1zTqQRXVrI4VUKCe92pKrsXnZQXAXoxuW6vspNruROnUutzV7NFZlIJMvnSUDpVpe9ozkLpjOp4+F4RoNvpYt3Kex9/7m3m13O4nq8ZNZ2qrRm1UyHCWjuubz7w8a59P1HZWSpKPdRZRIBeCtANglYWvp0s1q2894Xz8zz+3Nucn8sggGNJecb3wYnktmvZjoPulVJvtxR0FaWXRLbPYi8R5TGsO208a7Wpbyf9HM3eGx7zveub5X1+yTMYwEKYW98+fS9KEhqq/aQMA+osIkBUK5Da6eZudeHbyWLd7L3hMV3P4Fg3wsIlz5+TXetaRslBR8lxKUo91FlEgKh26LZzx9vqwreTxbrZe8Njxm1/gFHMtvwxrQYsEY7NprZdyyg56Cg5LkWphzqLiNCuXHcvaeeOt9WFbyeLdbP3hsecTiXwMOWcRdKxmB1Pcub+49s+M0oOOkqOS1HqoQlupUx1YjqdcMgW3R11c7c6AW8n/RzN3hseM2YLByeSzK3nKbnwkZkxztx/vO8J650QXvONfJGia4g7FnfMprUaSokc2mehAPX7CAQYH4ntqP+j25pNrdo/bI2E2l+z59A+C2X4qVVKChCzhMmxRMNFeCezt3tFL3cJtc4P6LgvYq/21yjDiTqLIaHXTVv1ej1Ws0XOfaP+wt+sR2DYm81qnd9jZ98o77g66YvYbf01yu5GE9xDQK/mZlfSbkVOo4qpftjda2qdXyZfYj1X6rgvQquglGFCncUQ0I+mrXYrchpVTO2GZrNa5+d6hpLnbXmtnR2BVkEpw4Q6iyGgH01b7ZaSNro73g3NZrXOz7bEH+taQTs7giiV7ypKMzRnMQT0ayBRO0niRqWyT714sad29yMfUuv8UgkHgablwa0QhfJdRWkF3VkMAVEOVzS6O+6l3f3Kh9Q6vydPn+A7p0/ojkDZU2ifxZAwjH0E0Du7H3r65W27Fp2BrUQc7bNQes+whit6ZbeWnSpKf1FnoQwlzfI4w97foShRQ3MWylDSKB+yG/o7FCVqqLNQhpJGifXd0N+hKFFDw1DK0FIvH6L5DEXpPuoslL7QTg6h3bxDv/pSFGUvoWEopee0k0PoJO8Q5b4URRlW1FkoPaedHEIneQeV0VCU7qNhKKXntJND6DTvMKx9KYoSVXRnofScdqS4Vb5bUaKFOgul57STQ9C8g6JEC3UWSs9pJ4egeQdFiRYqJKgoitIfhlpIUHcWiqIoSlPUWSiKoihNUWehKIqiNEWdhaIoitIUdRaKoihKU9RZKIqiKE1RZ6EoiqI0RZ2FoiiK0hR1FoqiKEpThqKDW0QWgPcHbUcDpoHFQRvRRfR8os1uOx/YfedU63wWjTH3D8KYbjAUziLqiMgrxpi7B21Ht9DziTa77Xxg953Tbjsf0DCUoiiK0gLqLBRFUZSmqLPoDk8P2oAuo+cTbXbb+cDuO6fddj6as1AURVGaozsLRVEUpSnqLBRFUZSmqLPoEBGxReR1EfmDQdvSKSLynoj8uYj8mYjsitGEIrJPRM6KyHkReVtE7hm0Te0iIh8Lvpvwz5qI/MtB29UJIvINEXlLRN4UkWdEJDlomzpBRB4NzuWtYf9uqnEGbcAu4FHgbWB80IZ0ib9pjNlNzVHfBc4ZY06LSBwYHbRB7WKM+Qvgk+DfpABXgN8bqFEdICKHgK8DHzfGZEXkd4AHgV8bqGFtIiJ3Av8U+BmgAJwTkf9jjHlnsJZ1B91ZdICI3AI8APzyoG1RtiMi48BJ4FcAjDEFY8zKYK3qGp8F/tIYE2Vlg1ZwgBERcfAd+dUB29MJfwV42RizaYwpAX8CfHnANnUNdRad8Z+AfwN4gzakSxjgD0XkVRH52qCN6QJHgQXgfwShwl8WkbFBG9UlHgSeGbQRnWCMuQI8CXwAfAisGmP+cLBWdcSbwEkR2S8io8DPAYcHbFPXUGfRJiLyBWDeGPPqoG3pIj9rjLkL+DzwiIicHLRBHeIAdwG/aIz5FLAB/PxgTeqcIJz2ReB/DdqWThCRSeBLwO3AQWBMRP7+YK1qH2PM28ATwPPAOeANoDRQo7qIOov2+VngiyLyHvA94F4R+c3BmtQZxpirweM8fiz8ZwZrUcdcBi4bY34cPD+L7zyGnc8Drxlj5gZtSId8DnjXGLNgjCkCvwv89QHb1BHGmF8xxtxljDkJXAd2Rb4C1Fm0jTHm3xpjbjHG3IYfEviBMWZo74pEZExE0uG/gb+Fv60eWowx14BLIvKx4KXPAj8ZoEnd4iGGPAQV8AHwaREZFRHB/37eHrBNHSEis8HjEeAr7I7vCdBqKOUGB4Df8//P4gC/bYw5N1iTusK/AH4rCN1cBP7RgO3piCAWfh/w8KBt6RRjzI9F5CzwGn645nWGXybjWRHZDxSBR4wxy4M2qFuo3IeiKIrSFA1DKYqiKE1RZ6EoiqI0RZ2FoiiK0hR1FoqiKEpT1FkoiqIoTVFnoewZRMQN1FrfFJHfF5F9weu3iYgRkW9XvHdaRIoi8l8HZ7GiRAd1FspeImuM+aQx5k787tpHKn52EfhCxfO/A7zVT+MUJcqos1D2Ki8BhyqeZ4G3ReTu4PnfA36n71YpSkRRZ6HsOYJZEJ8Fvl/1o+8BDwbS8y7DLZetKF1FnYWylxgRkT8DloApfHXQSs7hS2k8BPzPPtumKJFGnYWyl8gaYz4J3ArE2ZqzwBhTAF4F/hXwbP/NU5Toos5C2XMYY1bxx3k+JiKxqh//B+CMMWap/5YpSnRRZ6HsSYwxr+MPp3mw6vW3jDG/PhirFCW6qOqsoiiK0hTdWSiKoihNUWehKIqiNEWdhaIoitIUdRaKoihKU9RZKIqiKE1RZ6EoiqI0RZ2FoiiK0pT/DyTvfDlw6gMjAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x21681b12208>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#参数hue表示类别\n",
    "sns.lmplot('RM','MEDV',data=df,hue='CHAS',fit_reg=False);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# #若特征之间有较强的相关性\n",
    "\n",
    "应选择PCA降维或者使用正则项\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
